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Add Java and Python code for the following imgproc tutorials: Finding contours in your image, Convex Hull, Creating Bounding boxes and circles for contours, Creating Bounding rotated boxes and ellipses for contours, Image Moments, Point Polygon Test.

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catree 2018-06-10 23:57:11 +02:00
parent 93f2fd396b
commit a11ef2650e
25 changed files with 1865 additions and 348 deletions
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164
doc/tutorials/imgproc/shapedescriptors/bounding_rects_circles/bounding_rects_circles.markdown
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@ -15,55 +15,167 @@ Theory
Code
----
@add_toggle_cpp
This tutorial code's is shown lines below. You can also download it from
[here](https://github.com/opencv/opencv/tree/3.4/samples/cpp/tutorial_code/ShapeDescriptors/generalContours_demo1.cpp)
@include samples/cpp/tutorial_code/ShapeDescriptors/generalContours_demo1.cpp
@end_toggle
@add_toggle_java
This tutorial code's is shown lines below. You can also download it from
[here](https://github.com/opencv/opencv/tree/3.4/samples/java/tutorial_code/ShapeDescriptors/bounding_rects_circles/GeneralContoursDemo1.java)
@include samples/java/tutorial_code/ShapeDescriptors/bounding_rects_circles/GeneralContoursDemo1.java
@end_toggle
@add_toggle_python
This tutorial code's is shown lines below. You can also download it from
[here](https://github.com/opencv/opencv/tree/3.4/samples/python/tutorial_code/ShapeDescriptors/bounding_rects_circles/generalContours_demo1.py)
@include samples/python/tutorial_code/ShapeDescriptors/bounding_rects_circles/generalContours_demo1.py
@end_toggle
Explanation
-----------
The main function is rather simple, as follows from the comments we do the following:
-# Open the image, convert it into grayscale and blur it to get rid of the noise.
@snippet samples/cpp/tutorial_code/ShapeDescriptors/generalContours_demo1.cpp setup
-# Create a window with header "Source" and display the source file in it.
@snippet samples/cpp/tutorial_code/ShapeDescriptors/generalContours_demo1.cpp createWindow
-# Create a trackbar on the source_window and assign a callback function to it
- Open the image, convert it into grayscale and blur it to get rid of the noise.
@add_toggle_cpp
@snippet samples/cpp/tutorial_code/ShapeDescriptors/generalContours_demo1.cpp setup
@end_toggle
@add_toggle_java
@snippet samples/java/tutorial_code/ShapeDescriptors/bounding_rects_circles/GeneralContoursDemo1.java setup
@end_toggle
@add_toggle_python
@snippet samples/python/tutorial_code/ShapeDescriptors/bounding_rects_circles/generalContours_demo1.py setup
@end_toggle
- Create a window with header "Source" and display the source file in it.
@add_toggle_cpp
@snippet samples/cpp/tutorial_code/ShapeDescriptors/generalContours_demo1.cpp createWindow
@end_toggle
@add_toggle_java
@snippet samples/java/tutorial_code/ShapeDescriptors/bounding_rects_circles/GeneralContoursDemo1.java createWindow
@end_toggle
@add_toggle_python
@snippet samples/python/tutorial_code/ShapeDescriptors/bounding_rects_circles/generalContours_demo1.py createWindow
@end_toggle
- Create a trackbar on the `source_window` and assign a callback function to it.
In general callback functions are used to react to some kind of signal, in our
case it's trackbar's state change.
@snippet samples/cpp/tutorial_code/ShapeDescriptors/generalContours_demo1.cpp taskbar
-# Explicit one-time call of `thresh_callback` is necessary to display
Explicit one-time call of `thresh_callback` is necessary to display
the "Contours" window simultaniously with the "Source" window.
@snippet samples/cpp/tutorial_code/ShapeDescriptors/generalContours_demo1.cpp callback00
-# Wait for user to close the windows.
@snippet samples/cpp/tutorial_code/ShapeDescriptors/generalContours_demo1.cpp waitForIt
@add_toggle_cpp
@snippet samples/cpp/tutorial_code/ShapeDescriptors/generalContours_demo1.cpp trackbar
@end_toggle
The callback function `thresh_callback` does all the interesting job.
@add_toggle_java
@snippet samples/java/tutorial_code/ShapeDescriptors/bounding_rects_circles/GeneralContoursDemo1.java trackbar
@end_toggle
@add_toggle_python
@snippet samples/python/tutorial_code/ShapeDescriptors/bounding_rects_circles/generalContours_demo1.py trackbar
@end_toggle
-# Writes to `threshold_output` the threshold of the grayscale picture (you can check out about thresholding @ref tutorial_threshold "here").
@snippet samples/cpp/tutorial_code/ShapeDescriptors/generalContours_demo1.cpp threshold
-# Finds contours and saves them to the vectors `contour` and `hierarchy`.
@snippet samples/cpp/tutorial_code/ShapeDescriptors/generalContours_demo1.cpp findContours
-# For every found contour we now apply approximation to polygons
with accuracy +-3 and stating that the curve must me closed.
The callback function does all the interesting job.
- Use @ref cv::Canny to detect edges in the images.
@add_toggle_cpp
@snippet samples/cpp/tutorial_code/ShapeDescriptors/generalContours_demo1.cpp Canny
@end_toggle
@add_toggle_java
@snippet samples/java/tutorial_code/ShapeDescriptors/bounding_rects_circles/GeneralContoursDemo1.java Canny
@end_toggle
@add_toggle_python
@snippet samples/python/tutorial_code/ShapeDescriptors/bounding_rects_circles/generalContours_demo1.py Canny
@end_toggle
- Finds contours and saves them to the vectors `contour` and `hierarchy`.
@add_toggle_cpp
@snippet samples/cpp/tutorial_code/ShapeDescriptors/generalContours_demo1.cpp findContours
@end_toggle
@add_toggle_java
@snippet samples/java/tutorial_code/ShapeDescriptors/bounding_rects_circles/GeneralContoursDemo1.java findContours
@end_toggle
@add_toggle_python
@snippet samples/python/tutorial_code/ShapeDescriptors/bounding_rects_circles/generalContours_demo1.py findContours
@end_toggle
- For every found contour we now apply approximation to polygons
with accuracy +-3 and stating that the curve must be closed.
After that we find a bounding rect for every polygon and save it to `boundRect`.
At last we find a minimum enclosing circle for every polygon and
save it to `center` and `radius` vectors.
@snippet samples/cpp/tutorial_code/ShapeDescriptors/generalContours_demo1.cpp allthework
@add_toggle_cpp
@snippet samples/cpp/tutorial_code/ShapeDescriptors/generalContours_demo1.cpp allthework
@end_toggle
@add_toggle_java
@snippet samples/java/tutorial_code/ShapeDescriptors/bounding_rects_circles/GeneralContoursDemo1.java allthework
@end_toggle
@add_toggle_python
@snippet samples/python/tutorial_code/ShapeDescriptors/bounding_rects_circles/generalContours_demo1.py allthework
@end_toggle
We found everything we need, all we have to do is to draw.
-# Create new Mat of unsigned 8-bit chars, filled with zeros.
- Create new Mat of unsigned 8-bit chars, filled with zeros.
It will contain all the drawings we are going to make (rects and circles).
@snippet samples/cpp/tutorial_code/ShapeDescriptors/generalContours_demo1.cpp zeroMat
-# For every contour: pick a random color, draw the contour, the bounding rectangle and
the minimal enclosing circle with it,
@snippet samples/cpp/tutorial_code/ShapeDescriptors/generalContours_demo1.cpp forContour
-# Display the results: create a new window "Contours" and show everything we added to drawings on it.
@snippet samples/cpp/tutorial_code/ShapeDescriptors/generalContours_demo1.cpp showDrawings
@add_toggle_cpp
@snippet samples/cpp/tutorial_code/ShapeDescriptors/generalContours_demo1.cpp zeroMat
@end_toggle
@add_toggle_java
@snippet samples/java/tutorial_code/ShapeDescriptors/bounding_rects_circles/GeneralContoursDemo1.java zeroMat
@end_toggle
@add_toggle_python
@snippet samples/python/tutorial_code/ShapeDescriptors/bounding_rects_circles/generalContours_demo1.py zeroMat
@end_toggle
- For every contour: pick a random color, draw the contour, the bounding rectangle and
the minimal enclosing circle with it.
@add_toggle_cpp
@snippet samples/cpp/tutorial_code/ShapeDescriptors/generalContours_demo1.cpp forContour
@end_toggle
@add_toggle_java
@snippet samples/java/tutorial_code/ShapeDescriptors/bounding_rects_circles/GeneralContoursDemo1.java forContour
@end_toggle
@add_toggle_python
@snippet samples/python/tutorial_code/ShapeDescriptors/bounding_rects_circles/generalContours_demo1.py forContour
@end_toggle
- Display the results: create a new window "Contours" and show everything we added to drawings on it.
@add_toggle_cpp
@snippet samples/cpp/tutorial_code/ShapeDescriptors/generalContours_demo1.cpp showDrawings
@end_toggle
@add_toggle_java
@snippet samples/java/tutorial_code/ShapeDescriptors/bounding_rects_circles/GeneralContoursDemo1.java showDrawings
@end_toggle
@add_toggle_python
@snippet samples/python/tutorial_code/ShapeDescriptors/bounding_rects_circles/generalContours_demo1.py showDrawings
@end_toggle
Result
------

14
doc/tutorials/imgproc/shapedescriptors/bounding_rotated_ellipses/bounding_rotated_ellipses.markdown
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@ -15,9 +15,23 @@ Theory
Code
----
@add_toggle_cpp
This tutorial code's is shown lines below. You can also download it from
[here](https://github.com/opencv/opencv/tree/3.4/samples/cpp/tutorial_code/ShapeDescriptors/generalContours_demo2.cpp)
@include samples/cpp/tutorial_code/ShapeDescriptors/generalContours_demo2.cpp
@end_toggle
@add_toggle_java
This tutorial code's is shown lines below. You can also download it from
[here](https://github.com/opencv/opencv/tree/3.4/samples/java/tutorial_code/ShapeDescriptors/bounding_rotated_ellipses/GeneralContoursDemo2.java)
@include samples/java/tutorial_code/ShapeDescriptors/bounding_rotated_ellipses/GeneralContoursDemo2.java
@end_toggle
@add_toggle_python
This tutorial code's is shown lines below. You can also download it from
[here](https://github.com/opencv/opencv/tree/3.4/samples/python/tutorial_code/ShapeDescriptors/bounding_rotated_ellipses/generalContours_demo2.py)
@include samples/python/tutorial_code/ShapeDescriptors/bounding_rotated_ellipses/generalContours_demo2.py
@end_toggle
Explanation
-----------

14
doc/tutorials/imgproc/shapedescriptors/find_contours/find_contours.markdown
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@ -15,9 +15,23 @@ Theory
Code
----
@add_toggle_cpp
This tutorial code's is shown lines below. You can also download it from
[here](https://github.com/opencv/opencv/tree/3.4/samples/cpp/tutorial_code/ShapeDescriptors/findContours_demo.cpp)
@include samples/cpp/tutorial_code/ShapeDescriptors/findContours_demo.cpp
@end_toggle
@add_toggle_java
This tutorial code's is shown lines below. You can also download it from
[here](https://github.com/opencv/opencv/tree/3.4/samples/java/tutorial_code/ShapeDescriptors/find_contours/FindContoursDemo.java)
@include samples/java/tutorial_code/ShapeDescriptors/find_contours/FindContoursDemo.java
@end_toggle
@add_toggle_python
This tutorial code's is shown lines below. You can also download it from
[here](https://github.com/opencv/opencv/tree/3.4/samples/python/tutorial_code/ShapeDescriptors/find_contours/findContours_demo.py)
@include samples/python/tutorial_code/ShapeDescriptors/find_contours/findContours_demo.py
@end_toggle
Explanation
-----------

15
doc/tutorials/imgproc/shapedescriptors/hull/hull.markdown
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@ -14,10 +14,23 @@ Theory
Code
----
@add_toggle_cpp
This tutorial code's is shown lines below. You can also download it from
[here](https://github.com/opencv/opencv/tree/3.4/samples/cpp/tutorial_code/ShapeDescriptors/hull_demo.cpp)
@include samples/cpp/tutorial_code/ShapeDescriptors/hull_demo.cpp
@end_toggle
@add_toggle_java
This tutorial code's is shown lines below. You can also download it from
[here](https://github.com/opencv/opencv/tree/3.4/samples/java/tutorial_code/ShapeDescriptors/hull/HullDemo.java)
@include samples/java/tutorial_code/ShapeDescriptors/hull/HullDemo.java
@end_toggle
@add_toggle_python
This tutorial code's is shown lines below. You can also download it from
[here](https://github.com/opencv/opencv/tree/3.4/samples/python/tutorial_code/ShapeDescriptors/hull/hull_demo.py)
@include samples/python/tutorial_code/ShapeDescriptors/hull/hull_demo.py
@end_toggle
Explanation
-----------

14
doc/tutorials/imgproc/shapedescriptors/moments/moments.markdown
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@ -16,9 +16,23 @@ Theory
Code
----
@add_toggle_cpp
This tutorial code's is shown lines below. You can also download it from
[here](https://github.com/opencv/opencv/tree/3.4/samples/cpp/tutorial_code/ShapeDescriptors/moments_demo.cpp)
@include samples/cpp/tutorial_code/ShapeDescriptors/moments_demo.cpp
@end_toggle
@add_toggle_java
This tutorial code's is shown lines below. You can also download it from
[here](https://github.com/opencv/opencv/tree/3.4/samples/java/tutorial_code/ShapeDescriptors/moments/MomentsDemo.java)
@include samples/java/tutorial_code/ShapeDescriptors/moments/MomentsDemo.java
@end_toggle
@add_toggle_python
This tutorial code's is shown lines below. You can also download it from
[here](https://github.com/opencv/opencv/tree/3.4/samples/python/tutorial_code/ShapeDescriptors/moments/moments_demo.py)
@include samples/python/tutorial_code/ShapeDescriptors/moments/moments_demo.py
@end_toggle
Explanation
-----------

14
doc/tutorials/imgproc/shapedescriptors/point_polygon_test/point_polygon_test.markdown
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@ -14,9 +14,23 @@ Theory
Code
----
@add_toggle_cpp
This tutorial code's is shown lines below. You can also download it from
[here](https://github.com/opencv/opencv/tree/3.4/samples/cpp/tutorial_code/ShapeDescriptors/pointPolygonTest_demo.cpp)
@include samples/cpp/tutorial_code/ShapeDescriptors/pointPolygonTest_demo.cpp
@end_toggle
@add_toggle_java
This tutorial code's is shown lines below. You can also download it from
[here](https://github.com/opencv/opencv/tree/3.4/samples/java/tutorial_code/ShapeDescriptors/point_polygon_test/PointPolygonTestDemo.java)
@include samples/java/tutorial_code/ShapeDescriptors/point_polygon_test/PointPolygonTestDemo.java
@end_toggle
@add_toggle_python
This tutorial code's is shown lines below. You can also download it from
[here](https://github.com/opencv/opencv/tree/3.4/samples/python/tutorial_code/ShapeDescriptors/point_polygon_test/pointPolygonTest_demo.py)
@include samples/python/tutorial_code/ShapeDescriptors/point_polygon_test/pointPolygonTest_demo.py
@end_toggle
Explanation
-----------

12
doc/tutorials/imgproc/table_of_content_imgproc.markdown
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@ -225,6 +225,8 @@ In this section you will learn about the image processing (manipulation) functio
- @subpage tutorial_find_contours
*Languages:* C++, Java, Python
*Compatibility:* \> OpenCV 2.0
*Author:* Ana Huamán
@ -233,6 +235,8 @@ In this section you will learn about the image processing (manipulation) functio
- @subpage tutorial_hull
*Languages:* C++, Java, Python
*Compatibility:* \> OpenCV 2.0
*Author:* Ana Huamán
@ -241,6 +245,8 @@ In this section you will learn about the image processing (manipulation) functio
- @subpage tutorial_bounding_rects_circles
*Languages:* C++, Java, Python
*Compatibility:* \> OpenCV 2.0
*Author:* Ana Huamán
@ -249,6 +255,8 @@ In this section you will learn about the image processing (manipulation) functio
- @subpage tutorial_bounding_rotated_ellipses
*Languages:* C++, Java, Python
*Compatibility:* \> OpenCV 2.0
*Author:* Ana Huamán
@ -257,6 +265,8 @@ In this section you will learn about the image processing (manipulation) functio
- @subpage tutorial_moments
*Languages:* C++, Java, Python
*Compatibility:* \> OpenCV 2.0
*Author:* Ana Huamán
@ -265,6 +275,8 @@ In this section you will learn about the image processing (manipulation) functio
- @subpage tutorial_point_polygon_test
*Languages:* C++, Java, Python
*Compatibility:* \> OpenCV 2.0
*Author:* Ana Huamán

81
samples/cpp/tutorial_code/ShapeDescriptors/findContours_demo.cpp
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@ -12,9 +12,8 @@
using namespace cv;
using namespace std;
Mat src; Mat src_gray;
Mat src_gray;
int thresh = 100;
int max_thresh = 255;
RNG rng(12345);
/// Function header
@ -25,34 +24,31 @@ void thresh_callback(int, void* );
*/
int main( int argc, char** argv )
{
/// Load source image
String imageName("../data/happyfish.jpg"); // by default
if (argc > 1)
{
imageName = argv[1];
}
src = imread(imageName, IMREAD_COLOR);
/// Load source image
CommandLineParser parser( argc, argv, "{@input | ../data/HappyFish.jpg | input image}" );
Mat src = imread( parser.get<String>( "@input" ) );
if( src.empty() )
{
cout << "Could not open or find the image!\n" << endl;
cout << "Usage: " << argv[0] << " <Input image>" << endl;
return -1;
}
if (src.empty())
{
cerr << "No image supplied ..." << endl;
return -1;
}
/// Convert image to gray and blur it
cvtColor( src, src_gray, COLOR_BGR2GRAY );
blur( src_gray, src_gray, Size(3,3) );
/// Convert image to gray and blur it
cvtColor( src, src_gray, COLOR_BGR2GRAY );
blur( src_gray, src_gray, Size(3,3) );
/// Create Window
const char* source_window = "Source";
namedWindow( source_window );
imshow( source_window, src );
/// Create Window
const char* source_window = "Source";
namedWindow( source_window, WINDOW_AUTOSIZE );
imshow( source_window, src );
const int max_thresh = 255;
createTrackbar( "Canny thresh:", source_window, &thresh, max_thresh, thresh_callback );
thresh_callback( 0, 0 );
createTrackbar( " Canny thresh:", "Source", &thresh, max_thresh, thresh_callback );
thresh_callback( 0, 0 );
waitKey(0);
return(0);
waitKey();
return 0;
}
/**
@ -60,24 +56,23 @@ int main( int argc, char** argv )
*/
void thresh_callback(int, void* )
{
Mat canny_output;
vector<vector<Point> > contours;
vector<Vec4i> hierarchy;
/// Detect edges using Canny
Mat canny_output;
Canny( src_gray, canny_output, thresh, thresh*2 );
/// Detect edges using canny
Canny( src_gray, canny_output, thresh, thresh*2, 3 );
/// Find contours
findContours( canny_output, contours, hierarchy, RETR_TREE, CHAIN_APPROX_SIMPLE, Point(0, 0) );
/// Find contours
vector<vector<Point> > contours;
vector<Vec4i> hierarchy;
findContours( canny_output, contours, hierarchy, RETR_TREE, CHAIN_APPROX_SIMPLE );
/// Draw contours
Mat drawing = Mat::zeros( canny_output.size(), CV_8UC3 );
for( size_t i = 0; i< contours.size(); i++ )
{
Scalar color = Scalar( rng.uniform(0, 255), rng.uniform(0,255), rng.uniform(0,255) );
drawContours( drawing, contours, (int)i, color, 2, 8, hierarchy, 0, Point() );
}
/// Draw contours
Mat drawing = Mat::zeros( canny_output.size(), CV_8UC3 );
for( size_t i = 0; i< contours.size(); i++ )
{
Scalar color = Scalar( rng.uniform(0, 256), rng.uniform(0,256), rng.uniform(0,256) );
drawContours( drawing, contours, (int)i, color, 2, LINE_8, hierarchy, 0 );
}
/// Show in a window
namedWindow( "Contours", WINDOW_AUTOSIZE );
imshow( "Contours", drawing );
/// Show in a window
imshow( "Contours", drawing );
}

141
samples/cpp/tutorial_code/ShapeDescriptors/generalContours_demo1.cpp
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@ -12,9 +12,8 @@
using namespace cv;
using namespace std;
Mat src; Mat src_gray;
Mat src_gray;
int thresh = 100;
int max_thresh = 255;
RNG rng(12345);
/// Function header
@ -25,42 +24,37 @@ void thresh_callback(int, void* );
*/
int main( int argc, char** argv )
{
//![setup]
/// Load source image
CommandLineParser parser( argc, argv, "{@input | ../data/stuff.jpg | input image}" );
src = imread( parser.get<String>( "@input" ), IMREAD_COLOR );
if( src.empty() )
//! [setup]
/// Load source image
CommandLineParser parser( argc, argv, "{@input | ../data/stuff.jpg | input image}" );
Mat src = imread( parser.get<String>( "@input" ) );
if( src.empty() )
{
cout << "Could not open or find the image!\n" << endl;
cout << "usage: " << argv[0] << " <Input image>" << endl;
return -1;
cout << "Could not open or find the image!\n" << endl;
cout << "usage: " << argv[0] << " <Input image>" << endl;
return -1;
}
/// Convert image to gray and blur it
cvtColor( src, src_gray, COLOR_BGR2GRAY );
blur( src_gray, src_gray, Size(3,3) );
//![setup]
/// Convert image to gray and blur it
cvtColor( src, src_gray, COLOR_BGR2GRAY );
blur( src_gray, src_gray, Size(3,3) );
//! [setup]
//![createWindow]
/// Create Window
const char* source_window = "Source";
namedWindow( source_window, WINDOW_AUTOSIZE );
imshow( source_window, src );
//![createWindow]
//! [createWindow]
/// Create Window
const char* source_window = "Source";
namedWindow( source_window );
imshow( source_window, src );
//! [createWindow]
//![taskbar]
createTrackbar( " Threshold:", "Source", &thresh, max_thresh, thresh_callback );
//![taskbar]
//! [trackbar]
const int max_thresh = 255;
createTrackbar( "Canny thresh:", source_window, &thresh, max_thresh, thresh_callback );
thresh_callback( 0, 0 );
//! [trackbar]
//![callback00]
thresh_callback( 0, 0 );
//![callback00]
//![waitForIt]
waitKey(0);
//![waitForIt]
return(0);
waitKey();
return 0;
}
/**
@ -68,53 +62,50 @@ int main( int argc, char** argv )
*/
void thresh_callback(int, void* )
{
Mat threshold_output;
vector<vector<Point> > contours;
vector<Vec4i> hierarchy;
//! [Canny]
/// Detect edges using Canny
Mat canny_output;
Canny( src_gray, canny_output, thresh, thresh*2 );
//! [Canny]
//![threshold]
/// Detect edges using Threshold
threshold( src_gray, threshold_output, thresh, 255, THRESH_BINARY );
//![threshold]
//! [findContours]
/// Find contours
vector<vector<Point> > contours;
findContours( canny_output, contours, RETR_TREE, CHAIN_APPROX_SIMPLE );
//! [findContours]
//![findContours]
/// Find contours
findContours( threshold_output, contours, hierarchy, RETR_TREE, CHAIN_APPROX_SIMPLE, Point(0, 0) );
//![findContours]
//! [allthework]
/// Approximate contours to polygons + get bounding rects and circles
vector<vector<Point> > contours_poly( contours.size() );
vector<Rect> boundRect( contours.size() );
vector<Point2f>centers( contours.size() );
vector<float>radius( contours.size() );
/// Approximate contours to polygons + get bounding rects and circles
vector<vector<Point> > contours_poly( contours.size() );
vector<Rect> boundRect( contours.size() );
vector<Point2f>center( contours.size() );
vector<float>radius( contours.size() );
for( size_t i = 0; i < contours.size(); i++ )
{
approxPolyDP( contours[i], contours_poly[i], 3, true );
boundRect[i] = boundingRect( contours_poly[i] );
minEnclosingCircle( contours_poly[i], centers[i], radius[i] );
}
//! [allthework]
//![allthework]
for( size_t i = 0; i < contours.size(); i++ )
{
approxPolyDP( contours[i], contours_poly[i], 3, true );
boundRect[i] = boundingRect( contours_poly[i] );
minEnclosingCircle( contours_poly[i], center[i], radius[i] );
}
//![allthework]
//! [zeroMat]
Mat drawing = Mat::zeros( canny_output.size(), CV_8UC3 );
//! [zeroMat]
//![zeroMat]
/// Draw polygonal contour + bonding rects + circles
Mat drawing = Mat::zeros( threshold_output.size(), CV_8UC3 );
//![zeroMat]
//! [forContour]
/// Draw polygonal contour + bonding rects + circles
for( size_t i = 0; i< contours.size(); i++ )
{
Scalar color = Scalar( rng.uniform(0, 256), rng.uniform(0,256), rng.uniform(0,256) );
drawContours( drawing, contours_poly, (int)i, color );
rectangle( drawing, boundRect[i].tl(), boundRect[i].br(), color, 2 );
circle( drawing, centers[i], (int)radius[i], color, 2 );
}
//! [forContour]
//![forContour]
for( size_t i = 0; i< contours.size(); i++ )
{
Scalar color = Scalar( rng.uniform(0, 255), rng.uniform(0,255), rng.uniform(0,255) );
drawContours( drawing, contours_poly, (int)i, color, 1, 8, vector<Vec4i>(), 0, Point() );
rectangle( drawing, boundRect[i].tl(), boundRect[i].br(), color, 2, 8, 0 );
circle( drawing, center[i], (int)radius[i], color, 2, 8, 0 );
}
//![forContour]
//![showDrawings]
/// Show in a window
namedWindow( "Contours", WINDOW_AUTOSIZE );
imshow( "Contours", drawing );
//![showDrawings]
//! [showDrawings]
/// Show in a window
imshow( "Contours", drawing );
//! [showDrawings]
}

110
samples/cpp/tutorial_code/ShapeDescriptors/generalContours_demo2.cpp
View File

@ -12,9 +12,8 @@
using namespace cv;
using namespace std;
Mat src; Mat src_gray;
Mat src_gray;
int thresh = 100;
int max_thresh = 255;
RNG rng(12345);
/// Function header
@ -25,30 +24,31 @@ void thresh_callback(int, void* );
*/
int main( int argc, char** argv )
{
/// Load source image and convert it to gray
CommandLineParser parser( argc, argv, "{@input | ../data/stuff.jpg | input image}" );
src = imread( parser.get<String>( "@input" ), IMREAD_COLOR );
if( src.empty() )
/// Load source image and convert it to gray
CommandLineParser parser( argc, argv, "{@input | ../data/stuff.jpg | input image}" );
Mat src = imread( parser.get<String>( "@input" ) );
if( src.empty() )
{
cout << "Could not open or find the image!\n" << endl;
cout << "Usage: " << argv[0] << " <Input image>" << endl;
return -1;
cout << "Could not open or find the image!\n" << endl;
cout << "Usage: " << argv[0] << " <Input image>" << endl;
return -1;
}
/// Convert image to gray and blur it
cvtColor( src, src_gray, COLOR_BGR2GRAY );
blur( src_gray, src_gray, Size(3,3) );
/// Convert image to gray and blur it
cvtColor( src, src_gray, COLOR_BGR2GRAY );
blur( src_gray, src_gray, Size(3,3) );
/// Create Window
const char* source_window = "Source";
namedWindow( source_window, WINDOW_AUTOSIZE );
imshow( source_window, src );
/// Create Window
const char* source_window = "Source";
namedWindow( source_window );
imshow( source_window, src );
createTrackbar( " Threshold:", "Source", &thresh, max_thresh, thresh_callback );
thresh_callback( 0, 0 );
const int max_thresh = 255;
createTrackbar( "Canny thresh:", source_window, &thresh, max_thresh, thresh_callback );
thresh_callback( 0, 0 );
waitKey(0);
return(0);
waitKey();
return 0;
}
/**
@ -56,41 +56,43 @@ int main( int argc, char** argv )
*/
void thresh_callback(int, void* )
{
Mat threshold_output;
vector<vector<Point> > contours;
vector<Vec4i> hierarchy;
/// Detect edges using Canny
Mat canny_output;
Canny( src_gray, canny_output, thresh, thresh*2 );
/// Find contours
vector<vector<Point> > contours;
findContours( canny_output, contours, RETR_TREE, CHAIN_APPROX_SIMPLE, Point(0, 0) );
/// Detect edges using Threshold
threshold( src_gray, threshold_output, thresh, 255, THRESH_BINARY );
/// Find contours
findContours( threshold_output, contours, hierarchy, RETR_TREE, CHAIN_APPROX_SIMPLE, Point(0, 0) );
/// Find the rotated rectangles and ellipses for each contour
vector<RotatedRect> minRect( contours.size() );
vector<RotatedRect> minEllipse( contours.size() );
for( size_t i = 0; i < contours.size(); i++ )
{
minRect[i] = minAreaRect( contours[i] );
if( contours[i].size() > 5 )
{
minEllipse[i] = fitEllipse( contours[i] );
}
}
/// Find the rotated rectangles and ellipses for each contour
vector<RotatedRect> minRect( contours.size() );
vector<RotatedRect> minEllipse( contours.size() );
/// Draw contours + rotated rects + ellipses
Mat drawing = Mat::zeros( canny_output.size(), CV_8UC3 );
for( size_t i = 0; i< contours.size(); i++ )
{
Scalar color = Scalar( rng.uniform(0, 256), rng.uniform(0,256), rng.uniform(0,256) );
// contour
drawContours( drawing, contours, (int)i, color );
// ellipse
ellipse( drawing, minEllipse[i], color, 2 );
// rotated rectangle
Point2f rect_points[4];
minRect[i].points( rect_points );
for ( int j = 0; j < 4; j++ )
{
line( drawing, rect_points[j], rect_points[(j+1)%4], color );
}
}
for( size_t i = 0; i < contours.size(); i++ )
{ minRect[i] = minAreaRect( contours[i] );
if( contours[i].size() > 5 )
{ minEllipse[i] = fitEllipse( contours[i] ); }
}
/// Draw contours + rotated rects + ellipses
Mat drawing = Mat::zeros( threshold_output.size(), CV_8UC3 );
for( size_t i = 0; i< contours.size(); i++ )
{
Scalar color = Scalar( rng.uniform(0, 255), rng.uniform(0,255), rng.uniform(0,255) );
// contour
drawContours( drawing, contours, (int)i, color, 1, 8, vector<Vec4i>(), 0, Point() );
// ellipse
ellipse( drawing, minEllipse[i], color, 2, 8 );
// rotated rectangle
Point2f rect_points[4]; minRect[i].points( rect_points );
for( int j = 0; j < 4; j++ )
line( drawing, rect_points[j], rect_points[(j+1)%4], color, 1, 8 );
}
/// Show in a window
namedWindow( "Contours", WINDOW_AUTOSIZE );
imshow( "Contours", drawing );
/// Show in a window
imshow( "Contours", drawing );
}

89
samples/cpp/tutorial_code/ShapeDescriptors/hull_demo.cpp
View File

@ -12,9 +12,8 @@
using namespace cv;
using namespace std;
Mat src; Mat src_gray;
Mat src_gray;
int thresh = 100;
int max_thresh = 255;
RNG rng(12345);
/// Function header
@ -25,30 +24,31 @@ void thresh_callback(int, void* );
*/
int main( int argc, char** argv )
{
/// Load source image and convert it to gray
CommandLineParser parser( argc, argv, "{@input | ../data/stuff.jpg | input image}" );
src = imread( parser.get<String>( "@input" ), IMREAD_COLOR );
if( src.empty() )
{
cout << "Could not open or find the image!\n" << endl;
cout << "Usage: " << argv[0] << " <Input image>" << endl;
return -1;
}
/// Load source image and convert it to gray
CommandLineParser parser( argc, argv, "{@input | ../data/stuff.jpg | input image}" );
Mat src = imread( parser.get<String>( "@input" ) );
if( src.empty() )
{
cout << "Could not open or find the image!\n" << endl;
cout << "Usage: " << argv[0] << " <Input image>" << endl;
return -1;
}
/// Convert image to gray and blur it
cvtColor( src, src_gray, COLOR_BGR2GRAY );
blur( src_gray, src_gray, Size(3,3) );
/// Convert image to gray and blur it
cvtColor( src, src_gray, COLOR_BGR2GRAY );
blur( src_gray, src_gray, Size(3,3) );
/// Create Window
const char* source_window = "Source";
namedWindow( source_window, WINDOW_AUTOSIZE );
imshow( source_window, src );
/// Create Window
const char* source_window = "Source";
namedWindow( source_window );
imshow( source_window, src );
createTrackbar( " Threshold:", "Source", &thresh, max_thresh, thresh_callback );
thresh_callback( 0, 0 );
const int max_thresh = 255;
createTrackbar( "Canny thresh:", source_window, &thresh, max_thresh, thresh_callback );
thresh_callback( 0, 0 );
waitKey(0);
return(0);
waitKey();
return 0;
}
/**
@ -56,31 +56,30 @@ int main( int argc, char** argv )
*/
void thresh_callback(int, void* )
{
Mat threshold_output;
vector<vector<Point> > contours;
vector<Vec4i> hierarchy;
/// Detect edges using Canny
Mat canny_output;
Canny( src_gray, canny_output, thresh, thresh*2 );
/// Detect edges using Threshold
threshold( src_gray, threshold_output, thresh, 255, THRESH_BINARY );
/// Find contours
vector<vector<Point> > contours;
findContours( canny_output, contours, RETR_TREE, CHAIN_APPROX_SIMPLE );
/// Find contours
findContours( threshold_output, contours, hierarchy, RETR_TREE, CHAIN_APPROX_SIMPLE, Point(0, 0) );
/// Find the convex hull object for each contour
vector<vector<Point> >hull( contours.size() );
for( size_t i = 0; i < contours.size(); i++ )
{
convexHull( contours[i], hull[i] );
}
/// Find the convex hull object for each contour
vector<vector<Point> >hull( contours.size() );
for( size_t i = 0; i < contours.size(); i++ )
{ convexHull( contours[i], hull[i], false ); }
/// Draw contours + hull results
Mat drawing = Mat::zeros( canny_output.size(), CV_8UC3 );
for( size_t i = 0; i< contours.size(); i++ )
{
Scalar color = Scalar( rng.uniform(0, 256), rng.uniform(0,256), rng.uniform(0,256) );
drawContours( drawing, contours, (int)i, color );
drawContours( drawing, hull, (int)i, color );
}
/// Draw contours + hull results
Mat drawing = Mat::zeros( threshold_output.size(), CV_8UC3 );
for( size_t i = 0; i< contours.size(); i++ )
{
Scalar color = Scalar( rng.uniform(0, 255), rng.uniform(0,255), rng.uniform(0,255) );
drawContours( drawing, contours, (int)i, color, 1, 8, vector<Vec4i>(), 0, Point() );
drawContours( drawing, hull, (int)i, color, 1, 8, vector<Vec4i>(), 0, Point() );
}
/// Show in a window
namedWindow( "Hull demo", WINDOW_AUTOSIZE );
imshow( "Hull demo", drawing );
/// Show in a window
imshow( "Hull demo", drawing );
}

118
samples/cpp/tutorial_code/ShapeDescriptors/moments_demo.cpp
View File

@ -8,13 +8,13 @@
#include "opencv2/highgui.hpp"
#include "opencv2/imgproc.hpp"
#include <iostream>
#include <iomanip>
using namespace cv;
using namespace std;
Mat src; Mat src_gray;
Mat src_gray;
int thresh = 100;
int max_thresh = 255;
RNG rng(12345);
/// Function header
@ -25,31 +25,32 @@ void thresh_callback(int, void* );
*/
int main( int argc, char** argv )
{
/// Load source image and convert it to gray
CommandLineParser parser( argc, argv, "{@input | ../data/stuff.jpg | input image}" );
src = imread( parser.get<String>( "@input" ), IMREAD_COLOR );
/// Load source image
CommandLineParser parser( argc, argv, "{@input | ../data/stuff.jpg | input image}" );
Mat src = imread( parser.get<String>( "@input" ) );
if( src.empty() )
{
cout << "Could not open or find the image!\n" << endl;
cout << "usage: " << argv[0] << " <Input image>" << endl;
exit(0);
}
if( src.empty() )
{
cout << "Could not open or find the image!\n" << endl;
cout << "usage: " << argv[0] << " <Input image>" << endl;
return -1;
}
/// Convert image to gray and blur it
cvtColor( src, src_gray, COLOR_BGR2GRAY );
blur( src_gray, src_gray, Size(3,3) );
/// Convert image to gray and blur it
cvtColor( src, src_gray, COLOR_BGR2GRAY );
blur( src_gray, src_gray, Size(3,3) );
/// Create Window
const char* source_window = "Source";
namedWindow( source_window, WINDOW_AUTOSIZE );
imshow( source_window, src );
/// Create Window
const char* source_window = "Source";
namedWindow( source_window );
imshow( source_window, src );
createTrackbar( " Canny thresh:", "Source", &thresh, max_thresh, thresh_callback );
thresh_callback( 0, 0 );
const int max_thresh = 255;
createTrackbar( "Canny thresh:", source_window, &thresh, max_thresh, thresh_callback );
thresh_callback( 0, 0 );
waitKey(0);
return(0);
waitKey();
return 0;
}
/**
@ -57,44 +58,47 @@ int main( int argc, char** argv )
*/
void thresh_callback(int, void* )
{
Mat canny_output;
vector<vector<Point> > contours;
/// Detect edges using canny
Mat canny_output;
Canny( src_gray, canny_output, thresh, thresh*2, 3 );
/// Find contours
vector<vector<Point> > contours;
findContours( canny_output, contours, RETR_TREE, CHAIN_APPROX_SIMPLE );
/// Detect edges using canny
Canny( src_gray, canny_output, thresh, thresh*2, 3 );
/// Find contours
findContours( canny_output, contours, RETR_TREE, CHAIN_APPROX_SIMPLE );
/// Get the moments
vector<Moments> mu(contours.size() );
for( size_t i = 0; i < contours.size(); i++ )
{
mu[i] = moments( contours[i] );
}
/// Get the moments
vector<Moments> mu(contours.size() );
for( size_t i = 0; i < contours.size(); i++ )
{ mu[i] = moments( contours[i], false ); }
/// Get the mass centers
vector<Point2f> mc( contours.size() );
for( size_t i = 0; i < contours.size(); i++ )
{
//add 1e-5 to avoid division by zero
mc[i] = Point2f( static_cast<float>(mu[i].m10 / (mu[i].m00 + 1e-5)),
static_cast<float>(mu[i].m01 / (mu[i].m00 + 1e-5)) );
cout << "mc[" << i << "]=" << mc[i] << endl;
}
/// Get the mass centers:
vector<Point2f> mc( contours.size() );
for( size_t i = 0; i < contours.size(); i++ )
{ mc[i] = Point2f( static_cast<float>(mu[i].m10/mu[i].m00) , static_cast<float>(mu[i].m01/mu[i].m00) ); }
/// Draw contours
Mat drawing = Mat::zeros( canny_output.size(), CV_8UC3 );
for( size_t i = 0; i< contours.size(); i++ )
{
Scalar color = Scalar( rng.uniform(0, 256), rng.uniform(0,256), rng.uniform(0,256) );
drawContours( drawing, contours, (int)i, color, 2 );
circle( drawing, mc[i], 4, color, -1 );
}
/// Draw contours
Mat drawing = Mat::zeros( canny_output.size(), CV_8UC3 );
for( size_t i = 0; i< contours.size(); i++ )
{
Scalar color = Scalar( rng.uniform(0, 255), rng.uniform(0,255), rng.uniform(0,255) );
drawContours( drawing, contours, (int)i, color, 2, LINE_8 );
circle( drawing, mc[i], 4, color, -1, 8, 0 );
}
/// Show in a window
imshow( "Contours", drawing );
/// Show in a window
namedWindow( "Contours", WINDOW_AUTOSIZE );
imshow( "Contours", drawing );
/// Calculate the area with the moments 00 and compare with the result of the OpenCV function
printf("\t Info: Area and Contour Length \n");
for( size_t i = 0; i< contours.size(); i++ )
{
printf(" * Contour[%d] - Area (M_00) = %.2f - Area OpenCV: %.2f - Length: %.2f \n", (int)i, mu[i].m00, contourArea(contours[i]), arcLength( contours[i], true ) );
Scalar color = Scalar( rng.uniform(0, 255), rng.uniform(0,255), rng.uniform(0,255) );
drawContours( drawing, contours, (int)i, color, 2, LINE_8 );
circle( drawing, mc[i], 4, color, -1, 8, 0 );
}
/// Calculate the area with the moments 00 and compare with the result of the OpenCV function
cout << "\t Info: Area and Contour Length \n";
for( size_t i = 0; i < contours.size(); i++ )
{
cout << " * Contour[" << i << "] - Area (M_00) = " << std::fixed << std::setprecision(2) << mu[i].m00
<< " - Area OpenCV: " << contourArea(contours[i]) << " - Length: " << arcLength( contours[i], true ) << endl;
}
}

105
samples/cpp/tutorial_code/ShapeDescriptors/pointPolygonTest_demo.cpp
View File

@ -16,60 +16,71 @@ using namespace std;
*/
int main( void )
{
/// Create an image
const int r = 100;
Mat src = Mat::zeros( Size( 4*r, 4*r ), CV_8UC1 );
/// Create an image
const int r = 100;
Mat src = Mat::zeros( Size( 4*r, 4*r ), CV_8U );
/// Create a sequence of points to make a contour:
vector<Point2f> vert(6);
/// Create a sequence of points to make a contour
vector<Point2f> vert(6);
vert[0] = Point( 3*r/2, static_cast<int>(1.34*r) );
vert[1] = Point( 1*r, 2*r );
vert[2] = Point( 3*r/2, static_cast<int>(2.866*r) );
vert[3] = Point( 5*r/2, static_cast<int>(2.866*r) );
vert[4] = Point( 3*r, 2*r );
vert[5] = Point( 5*r/2, static_cast<int>(1.34*r) );
vert[0] = Point( 3*r/2, static_cast<int>(1.34*r) );
vert[1] = Point( 1*r, 2*r );
vert[2] = Point( 3*r/2, static_cast<int>(2.866*r) );
vert[3] = Point( 5*r/2, static_cast<int>(2.866*r) );
vert[4] = Point( 3*r, 2*r );
vert[5] = Point( 5*r/2, static_cast<int>(1.34*r) );
/// Draw it in src
for( int i = 0; i < 6; i++ )
{
line( src, vert[i], vert[(i+1)%6], Scalar( 255 ), 3 );
}
/// Draw it in src
for( int j = 0; j < 6; j++ )
{ line( src, vert[j], vert[(j+1)%6], Scalar( 255 ), 3, 8 ); }
/// Get the contours
vector<vector<Point> > contours;
findContours( src, contours, RETR_TREE, CHAIN_APPROX_SIMPLE);
/// Get the contours
vector<vector<Point> > contours;
/// Calculate the distances to the contour
Mat raw_dist( src.size(), CV_32F );
for( int i = 0; i < src.rows; i++ )
{
for( int j = 0; j < src.cols; j++ )
{
raw_dist.at<float>(i,j) = (float)pointPolygonTest( contours[0], Point2f((float)j, (float)i), true );
}
}
findContours( src, contours, RETR_TREE, CHAIN_APPROX_SIMPLE);
double minVal, maxVal;
minMaxLoc( raw_dist, &minVal, &maxVal );
minVal = abs(minVal);
maxVal = abs(maxVal);
/// Calculate the distances to the contour
Mat raw_dist( src.size(), CV_32FC1 );
for( int j = 0; j < src.rows; j++ )
{ for( int i = 0; i < src.cols; i++ )
{ raw_dist.at<float>(j,i) = (float)pointPolygonTest( contours[0], Point2f((float)i,(float)j), true ); }
}
double minVal; double maxVal;
minMaxLoc( raw_dist, &minVal, &maxVal, 0, 0, Mat() );
minVal = abs(minVal); maxVal = abs(maxVal);
/// Depicting the distances graphically
Mat drawing = Mat::zeros( src.size(), CV_8UC3 );
for( int j = 0; j < src.rows; j++ )
{ for( int i = 0; i < src.cols; i++ )
{
if( raw_dist.at<float>(j,i) < 0 )
{ drawing.at<Vec3b>(j,i)[0] = (uchar)(255 - abs(raw_dist.at<float>(j,i))*255/minVal); }
else if( raw_dist.at<float>(j,i) > 0 )
{ drawing.at<Vec3b>(j,i)[2] = (uchar)(255 - raw_dist.at<float>(j,i)*255/maxVal); }
/// Depicting the distances graphically
Mat drawing = Mat::zeros( src.size(), CV_8UC3 );
for( int i = 0; i < src.rows; i++ )
{
for( int j = 0; j < src.cols; j++ )
{
if( raw_dist.at<float>(i,j) < 0 )
{
drawing.at<Vec3b>(i,j)[0] = (uchar)(255 - abs(raw_dist.at<float>(i,j)) * 255 / minVal);
}
else if( raw_dist.at<float>(i,j) > 0 )
{
drawing.at<Vec3b>(i,j)[2] = (uchar)(255 - raw_dist.at<float>(i,j) * 255 / maxVal);
}
else
{ drawing.at<Vec3b>(j,i)[0] = 255; drawing.at<Vec3b>(j,i)[1] = 255; drawing.at<Vec3b>(j,i)[2] = 255; }
}
}
{
drawing.at<Vec3b>(i,j)[0] = 255;
drawing.at<Vec3b>(i,j)[1] = 255;
drawing.at<Vec3b>(i,j)[2] = 255;
}
}
}
/// Show your results
imshow( "Source", src );
imshow( "Distance", drawing );
/// Show your results
imshow( "Source", src );
imshow( "Distance", drawing );
waitKey(0);
return(0);
waitKey();
return 0;
}

179
samples/java/tutorial_code/ShapeDescriptors/bounding_rects_circles/GeneralContoursDemo1.java Normal file
View File

@ -0,0 +1,179 @@
import java.awt.BorderLayout;
import java.awt.Container;
import java.awt.Image;
import java.util.ArrayList;
import java.util.List;
import java.util.Random;
import javax.swing.BoxLayout;
import javax.swing.ImageIcon;
import javax.swing.JFrame;
import javax.swing.JLabel;
import javax.swing.JPanel;
import javax.swing.JSlider;
import javax.swing.event.ChangeEvent;
import javax.swing.event.ChangeListener;
import org.opencv.core.Core;
import org.opencv.core.CvType;
import org.opencv.core.Mat;
import org.opencv.core.MatOfPoint;
import org.opencv.core.MatOfPoint2f;
import org.opencv.core.Point;
import org.opencv.core.Rect;
import org.opencv.core.Scalar;
import org.opencv.core.Size;
import org.opencv.highgui.HighGui;
import org.opencv.imgcodecs.Imgcodecs;
import org.opencv.imgproc.Imgproc;
class GeneralContours1 {
private Mat srcGray = new Mat();
private JFrame frame;
private JLabel imgSrcLabel;
private JLabel imgContoursLabel;
private static final int MAX_THRESHOLD = 255;
private int threshold = 100;
private Random rng = new Random(12345);
public GeneralContours1(String[] args) {
//! [setup]
/// Load source image
String filename = args.length > 0 ? args[0] : "../data/stuff.jpg";
Mat src = Imgcodecs.imread(filename);
if (src.empty()) {
System.err.println("Cannot read image: " + filename);
System.exit(0);
}
/// Convert image to gray and blur it
Imgproc.cvtColor(src, srcGray, Imgproc.COLOR_BGR2GRAY);
Imgproc.blur(srcGray, srcGray, new Size(3, 3));
//! [setup]
//! [createWindow]
// Create and set up the window.
frame = new JFrame("Creating Bounding boxes and circles for contours demo");
frame.setDefaultCloseOperation(JFrame.EXIT_ON_CLOSE);
// Set up the content pane.
Image img = HighGui.toBufferedImage(src);
addComponentsToPane(frame.getContentPane(), img);
//! [createWindow]
// Use the content pane's default BorderLayout. No need for
// setLayout(new BorderLayout());
// Display the window.
frame.pack();
frame.setVisible(true);
update();
}
private void addComponentsToPane(Container pane, Image img) {
if (!(pane.getLayout() instanceof BorderLayout)) {
pane.add(new JLabel("Container doesn't use BorderLayout!"));
return;
}
JPanel sliderPanel = new JPanel();
sliderPanel.setLayout(new BoxLayout(sliderPanel, BoxLayout.PAGE_AXIS));
//! [trackbar]
sliderPanel.add(new JLabel("Canny threshold: "));
JSlider slider = new JSlider(0, MAX_THRESHOLD, threshold);
slider.setMajorTickSpacing(20);
slider.setMinorTickSpacing(10);
slider.setPaintTicks(true);
slider.setPaintLabels(true);
slider.addChangeListener(new ChangeListener() {
@Override
public void stateChanged(ChangeEvent e) {
JSlider source = (JSlider) e.getSource();
threshold = source.getValue();
update();
}
});
//! [trackbar]
sliderPanel.add(slider);
pane.add(sliderPanel, BorderLayout.PAGE_START);
JPanel imgPanel = new JPanel();
imgSrcLabel = new JLabel(new ImageIcon(img));
imgPanel.add(imgSrcLabel);
Mat blackImg = Mat.zeros(srcGray.size(), CvType.CV_8U);
imgContoursLabel = new JLabel(new ImageIcon(HighGui.toBufferedImage(blackImg)));
imgPanel.add(imgContoursLabel);
pane.add(imgPanel, BorderLayout.CENTER);
}
private void update() {
//! [Canny]
/// Detect edges using Canny
Mat cannyOutput = new Mat();
Imgproc.Canny(srcGray, cannyOutput, threshold, threshold * 2);
//! [Canny]
//! [findContours]
/// Find contours
List<MatOfPoint> contours = new ArrayList<>();
Mat hierarchy = new Mat();
Imgproc.findContours(cannyOutput, contours, hierarchy, Imgproc.RETR_TREE, Imgproc.CHAIN_APPROX_SIMPLE);
//! [findContours]
//! [allthework]
/// Approximate contours to polygons + get bounding rects and circles
MatOfPoint2f[] contoursPoly = new MatOfPoint2f[contours.size()];
Rect[] boundRect = new Rect[contours.size()];
Point[] centers = new Point[contours.size()];
float[][] radius = new float[contours.size()][1];
for (int i = 0; i < contours.size(); i++) {
contoursPoly[i] = new MatOfPoint2f();
Imgproc.approxPolyDP(new MatOfPoint2f(contours.get(i).toArray()), contoursPoly[i], 3, true);
boundRect[i] = Imgproc.boundingRect(new MatOfPoint(contoursPoly[i].toArray()));
centers[i] = new Point();
Imgproc.minEnclosingCircle(contoursPoly[i], centers[i], radius[i]);
}
//! [allthework]
//! [zeroMat]
Mat drawing = Mat.zeros(cannyOutput.size(), CvType.CV_8UC3);
//! [zeroMat]
//! [forContour]
/// Draw polygonal contour + bonding rects + circles
List<MatOfPoint> contoursPolyList = new ArrayList<>(contoursPoly.length);
for (MatOfPoint2f poly : contoursPoly) {
contoursPolyList.add(new MatOfPoint(poly.toArray()));
}
for (int i = 0; i < contours.size(); i++) {
Scalar color = new Scalar(rng.nextInt(256), rng.nextInt(256), rng.nextInt(256));
Imgproc.drawContours(drawing, contoursPolyList, i, color);
Imgproc.rectangle(drawing, boundRect[i].tl(), boundRect[i].br(), color, 2);
Imgproc.circle(drawing, centers[i], (int) radius[i][0], color, 2);
}
//! [forContour]
//! [showDrawings]
/// Show in a window
imgContoursLabel.setIcon(new ImageIcon(HighGui.toBufferedImage(drawing)));
frame.repaint();
//! [showDrawings]
}
}
public class GeneralContoursDemo1 {
public static void main(String[] args) {
// Load the native OpenCV library
System.loadLibrary(Core.NATIVE_LIBRARY_NAME);
// Schedule a job for the event dispatch thread:
// creating and showing this application's GUI.
javax.swing.SwingUtilities.invokeLater(new Runnable() {
@Override
public void run() {
new GeneralContours1(args);
}
});
}
}

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samples/java/tutorial_code/ShapeDescriptors/bounding_rotated_ellipses/GeneralContoursDemo2.java Normal file
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import java.awt.BorderLayout;
import java.awt.Container;
import java.awt.Image;
import java.util.ArrayList;
import java.util.List;
import java.util.Random;
import javax.swing.BoxLayout;
import javax.swing.ImageIcon;
import javax.swing.JFrame;
import javax.swing.JLabel;
import javax.swing.JPanel;
import javax.swing.JSlider;
import javax.swing.event.ChangeEvent;
import javax.swing.event.ChangeListener;
import org.opencv.core.Core;
import org.opencv.core.CvType;
import org.opencv.core.Mat;
import org.opencv.core.MatOfPoint;
import org.opencv.core.MatOfPoint2f;
import org.opencv.core.Point;
import org.opencv.core.RotatedRect;
import org.opencv.core.Scalar;
import org.opencv.core.Size;
import org.opencv.highgui.HighGui;
import org.opencv.imgcodecs.Imgcodecs;
import org.opencv.imgproc.Imgproc;
class GeneralContours2 {
private Mat srcGray = new Mat();
private JFrame frame;
private JLabel imgSrcLabel;
private JLabel imgContoursLabel;
private static final int MAX_THRESHOLD = 255;
private int threshold = 100;
private Random rng = new Random(12345);
public GeneralContours2(String[] args) {
//! [setup]
/// Load source image
String filename = args.length > 0 ? args[0] : "../data/stuff.jpg";
Mat src = Imgcodecs.imread(filename);
if (src.empty()) {
System.err.println("Cannot read image: " + filename);
System.exit(0);
}
/// Convert image to gray and blur it
Imgproc.cvtColor(src, srcGray, Imgproc.COLOR_BGR2GRAY);
Imgproc.blur(srcGray, srcGray, new Size(3, 3));
//! [setup]
//! [createWindow]
// Create and set up the window.
frame = new JFrame("Creating Bounding rotated boxes and ellipses for contours demo");
frame.setDefaultCloseOperation(JFrame.EXIT_ON_CLOSE);
// Set up the content pane.
Image img = HighGui.toBufferedImage(src);
addComponentsToPane(frame.getContentPane(), img);
//! [createWindow]
// Use the content pane's default BorderLayout. No need for
// setLayout(new BorderLayout());
// Display the window.
frame.pack();
frame.setVisible(true);
update();
}
private void addComponentsToPane(Container pane, Image img) {
if (!(pane.getLayout() instanceof BorderLayout)) {
pane.add(new JLabel("Container doesn't use BorderLayout!"));
return;
}
JPanel sliderPanel = new JPanel();
sliderPanel.setLayout(new BoxLayout(sliderPanel, BoxLayout.PAGE_AXIS));
//! [trackbar]
sliderPanel.add(new JLabel("Canny threshold: "));
JSlider slider = new JSlider(0, MAX_THRESHOLD, threshold);
slider.setMajorTickSpacing(20);
slider.setMinorTickSpacing(10);
slider.setPaintTicks(true);
slider.setPaintLabels(true);
slider.addChangeListener(new ChangeListener() {
@Override
public void stateChanged(ChangeEvent e) {
JSlider source = (JSlider) e.getSource();
threshold = source.getValue();
update();
}
});
//! [trackbar]
sliderPanel.add(slider);
pane.add(sliderPanel, BorderLayout.PAGE_START);
JPanel imgPanel = new JPanel();
imgSrcLabel = new JLabel(new ImageIcon(img));
imgPanel.add(imgSrcLabel);
Mat blackImg = Mat.zeros(srcGray.size(), CvType.CV_8U);
imgContoursLabel = new JLabel(new ImageIcon(HighGui.toBufferedImage(blackImg)));
imgPanel.add(imgContoursLabel);
pane.add(imgPanel, BorderLayout.CENTER);
}
private void update() {
//! [Canny]
/// Detect edges using Canny
Mat cannyOutput = new Mat();
Imgproc.Canny(srcGray, cannyOutput, threshold, threshold * 2);
//! [Canny]
//! [findContours]
/// Find contours
List<MatOfPoint> contours = new ArrayList<>();
Mat hierarchy = new Mat();
Imgproc.findContours(cannyOutput, contours, hierarchy, Imgproc.RETR_TREE, Imgproc.CHAIN_APPROX_SIMPLE);
//! [findContours]
/// Find the rotated rectangles and ellipses for each contour
RotatedRect[] minRect = new RotatedRect[contours.size()];
RotatedRect[] minEllipse = new RotatedRect[contours.size()];
for (int i = 0; i < contours.size(); i++) {
minRect[i] = Imgproc.minAreaRect(new MatOfPoint2f(contours.get(i).toArray()));
minEllipse[i] = new RotatedRect();
if (contours.get(i).rows() > 5) {
minEllipse[i] = Imgproc.fitEllipse(new MatOfPoint2f(contours.get(i).toArray()));
}
}
//! [zeroMat]
/// Draw contours + rotated rects + ellipses
Mat drawing = Mat.zeros(cannyOutput.size(), CvType.CV_8UC3);
//! [zeroMat]
//! [forContour]
for (int i = 0; i < contours.size(); i++) {
Scalar color = new Scalar(rng.nextInt(256), rng.nextInt(256), rng.nextInt(256));
// contour
Imgproc.drawContours(drawing, contours, i, color);
// ellipse
Imgproc.ellipse(drawing, minEllipse[i], color, 2);
// rotated rectangle
Point[] rectPoints = new Point[4];
minRect[i].points(rectPoints);
for (int j = 0; j < 4; j++) {
Imgproc.line(drawing, rectPoints[j], rectPoints[(j+1) % 4], color);
}
}
//! [forContour]
//! [showDrawings]
/// Show in a window
imgContoursLabel.setIcon(new ImageIcon(HighGui.toBufferedImage(drawing)));
frame.repaint();
//! [showDrawings]
}
}
public class GeneralContoursDemo2 {
public static void main(String[] args) {
// Load the native OpenCV library
System.loadLibrary(Core.NATIVE_LIBRARY_NAME);
// Schedule a job for the event dispatch thread:
// creating and showing this application's GUI.
javax.swing.SwingUtilities.invokeLater(new Runnable() {
@Override
public void run() {
new GeneralContours2(args);
}
});
}
}

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samples/java/tutorial_code/ShapeDescriptors/find_contours/FindContoursDemo.java Normal file
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import java.awt.BorderLayout;
import java.awt.Container;
import java.awt.Image;
import java.util.ArrayList;
import java.util.List;
import java.util.Random;
import javax.swing.BoxLayout;
import javax.swing.ImageIcon;
import javax.swing.JFrame;
import javax.swing.JLabel;
import javax.swing.JPanel;
import javax.swing.JSlider;
import javax.swing.event.ChangeEvent;
import javax.swing.event.ChangeListener;
import org.opencv.core.Core;
import org.opencv.core.CvType;
import org.opencv.core.Mat;
import org.opencv.core.MatOfPoint;
import org.opencv.core.Point;
import org.opencv.core.Scalar;
import org.opencv.core.Size;
import org.opencv.highgui.HighGui;
import org.opencv.imgcodecs.Imgcodecs;
import org.opencv.imgproc.Imgproc;
class FindContours {
private Mat srcGray = new Mat();
private JFrame frame;
private JLabel imgSrcLabel;
private JLabel imgContoursLabel;
private static final int MAX_THRESHOLD = 255;
private int threshold = 100;
private Random rng = new Random(12345);
public FindContours(String[] args) {
/// Load source image
String filename = args.length > 0 ? args[0] : "../data/HappyFish.jpg";
Mat src = Imgcodecs.imread(filename);
if (src.empty()) {
System.err.println("Cannot read image: " + filename);
System.exit(0);
}
/// Convert image to gray and blur it
Imgproc.cvtColor(src, srcGray, Imgproc.COLOR_BGR2GRAY);
Imgproc.blur(srcGray, srcGray, new Size(3, 3));
// Create and set up the window.
frame = new JFrame("Finding contours in your image demo");
frame.setDefaultCloseOperation(JFrame.EXIT_ON_CLOSE);
// Set up the content pane.
Image img = HighGui.toBufferedImage(src);
addComponentsToPane(frame.getContentPane(), img);
// Use the content pane's default BorderLayout. No need for
// setLayout(new BorderLayout());
// Display the window.
frame.pack();
frame.setVisible(true);
update();
}
private void addComponentsToPane(Container pane, Image img) {
if (!(pane.getLayout() instanceof BorderLayout)) {
pane.add(new JLabel("Container doesn't use BorderLayout!"));
return;
}
JPanel sliderPanel = new JPanel();
sliderPanel.setLayout(new BoxLayout(sliderPanel, BoxLayout.PAGE_AXIS));
sliderPanel.add(new JLabel("Canny threshold: "));
JSlider slider = new JSlider(0, MAX_THRESHOLD, threshold);
slider.setMajorTickSpacing(20);
slider.setMinorTickSpacing(10);
slider.setPaintTicks(true);
slider.setPaintLabels(true);
slider.addChangeListener(new ChangeListener() {
@Override
public void stateChanged(ChangeEvent e) {
JSlider source = (JSlider) e.getSource();
threshold = source.getValue();
update();
}
});
sliderPanel.add(slider);
pane.add(sliderPanel, BorderLayout.PAGE_START);
JPanel imgPanel = new JPanel();
imgSrcLabel = new JLabel(new ImageIcon(img));
imgPanel.add(imgSrcLabel);
Mat blackImg = Mat.zeros(srcGray.size(), CvType.CV_8U);
imgContoursLabel = new JLabel(new ImageIcon(HighGui.toBufferedImage(blackImg)));
imgPanel.add(imgContoursLabel);
pane.add(imgPanel, BorderLayout.CENTER);
}
private void update() {
/// Detect edges using Canny
Mat cannyOutput = new Mat();
Imgproc.Canny(srcGray, cannyOutput, threshold, threshold * 2);
/// Find contours
List<MatOfPoint> contours = new ArrayList<>();
Mat hierarchy = new Mat();
Imgproc.findContours(cannyOutput, contours, hierarchy, Imgproc.RETR_TREE, Imgproc.CHAIN_APPROX_SIMPLE);
/// Draw contours
Mat drawing = Mat.zeros(cannyOutput.size(), CvType.CV_8UC3);
for (int i = 0; i < contours.size(); i++) {
Scalar color = new Scalar(rng.nextInt(256), rng.nextInt(256), rng.nextInt(256));
Imgproc.drawContours(drawing, contours, i, color, 2, Core.LINE_8, hierarchy, 0, new Point());
}
imgContoursLabel.setIcon(new ImageIcon(HighGui.toBufferedImage(drawing)));
frame.repaint();
}
}
public class FindContoursDemo {
public static void main(String[] args) {
// Load the native OpenCV library
System.loadLibrary(Core.NATIVE_LIBRARY_NAME);
// Schedule a job for the event dispatch thread:
// creating and showing this application's GUI.
javax.swing.SwingUtilities.invokeLater(new Runnable() {
@Override
public void run() {
new FindContours(args);
}
});
}
}

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samples/java/tutorial_code/ShapeDescriptors/hull/HullDemo.java Normal file
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import java.awt.BorderLayout;
import java.awt.Container;
import java.awt.Image;
import java.util.ArrayList;
import java.util.List;
import java.util.Random;
import javax.swing.BoxLayout;
import javax.swing.ImageIcon;
import javax.swing.JFrame;
import javax.swing.JLabel;
import javax.swing.JPanel;
import javax.swing.JSlider;
import javax.swing.event.ChangeEvent;
import javax.swing.event.ChangeListener;
import org.opencv.core.Core;
import org.opencv.core.CvType;
import org.opencv.core.Mat;
import org.opencv.core.MatOfInt;
import org.opencv.core.MatOfPoint;
import org.opencv.core.Point;
import org.opencv.core.Scalar;
import org.opencv.core.Size;
import org.opencv.highgui.HighGui;
import org.opencv.imgcodecs.Imgcodecs;
import org.opencv.imgproc.Imgproc;
class Hull {
private Mat srcGray = new Mat();
private JFrame frame;
private JLabel imgSrcLabel;
private JLabel imgContoursLabel;
private static final int MAX_THRESHOLD = 255;
private int threshold = 100;
private Random rng = new Random(12345);
public Hull(String[] args) {
/// Load source image
String filename = args.length > 0 ? args[0] : "../data/stuff.jpg";
Mat src = Imgcodecs.imread(filename);
if (src.empty()) {
System.err.println("Cannot read image: " + filename);
System.exit(0);
}
/// Convert image to gray and blur it
Imgproc.cvtColor(src, srcGray, Imgproc.COLOR_BGR2GRAY);
Imgproc.blur(srcGray, srcGray, new Size(3, 3));
// Create and set up the window.
frame = new JFrame("Convex Hull demo");
frame.setDefaultCloseOperation(JFrame.EXIT_ON_CLOSE);
// Set up the content pane.
Image img = HighGui.toBufferedImage(src);
addComponentsToPane(frame.getContentPane(), img);
// Use the content pane's default BorderLayout. No need for
// setLayout(new BorderLayout());
// Display the window.
frame.pack();
frame.setVisible(true);
update();
}
private void addComponentsToPane(Container pane, Image img) {
if (!(pane.getLayout() instanceof BorderLayout)) {
pane.add(new JLabel("Container doesn't use BorderLayout!"));
return;
}
JPanel sliderPanel = new JPanel();
sliderPanel.setLayout(new BoxLayout(sliderPanel, BoxLayout.PAGE_AXIS));
sliderPanel.add(new JLabel("Canny threshold: "));
JSlider slider = new JSlider(0, MAX_THRESHOLD, threshold);
slider.setMajorTickSpacing(20);
slider.setMinorTickSpacing(10);
slider.setPaintTicks(true);
slider.setPaintLabels(true);
slider.addChangeListener(new ChangeListener() {
@Override
public void stateChanged(ChangeEvent e) {
JSlider source = (JSlider) e.getSource();
threshold = source.getValue();
update();
}
});
sliderPanel.add(slider);
pane.add(sliderPanel, BorderLayout.PAGE_START);
JPanel imgPanel = new JPanel();
imgSrcLabel = new JLabel(new ImageIcon(img));
imgPanel.add(imgSrcLabel);
Mat blackImg = Mat.zeros(srcGray.size(), CvType.CV_8U);
imgContoursLabel = new JLabel(new ImageIcon(HighGui.toBufferedImage(blackImg)));
imgPanel.add(imgContoursLabel);
pane.add(imgPanel, BorderLayout.CENTER);
}
private void update() {
/// Detect edges using Canny
Mat cannyOutput = new Mat();
Imgproc.Canny(srcGray, cannyOutput, threshold, threshold * 2);
/// Find contours
List<MatOfPoint> contours = new ArrayList<>();
Mat hierarchy = new Mat();
Imgproc.findContours(cannyOutput, contours, hierarchy, Imgproc.RETR_TREE, Imgproc.CHAIN_APPROX_SIMPLE);
/// Find the convex hull object for each contour
List<MatOfPoint> hullList = new ArrayList<>();
for (MatOfPoint contour : contours) {
MatOfInt hull = new MatOfInt();
Imgproc.convexHull(contour, hull);
Point[] contourArray = contour.toArray();
Point[] hullPoints = new Point[hull.rows()];
List<Integer> hullContourIdxList = hull.toList();
for (int i = 0; i < hullContourIdxList.size(); i++) {
hullPoints[i] = contourArray[hullContourIdxList.get(i)];
}
hullList.add(new MatOfPoint(hullPoints));
}
/// Draw contours + hull results
Mat drawing = Mat.zeros(cannyOutput.size(), CvType.CV_8UC3);
for (int i = 0; i < contours.size(); i++) {
Scalar color = new Scalar(rng.nextInt(256), rng.nextInt(256), rng.nextInt(256));
Imgproc.drawContours(drawing, contours, i, color);
Imgproc.drawContours(drawing, hullList, i, color );
}
imgContoursLabel.setIcon(new ImageIcon(HighGui.toBufferedImage(drawing)));
frame.repaint();
}
}
public class HullDemo {
public static void main(String[] args) {
// Load the native OpenCV library
System.loadLibrary(Core.NATIVE_LIBRARY_NAME);
// Schedule a job for the event dispatch thread:
// creating and showing this application's GUI.
javax.swing.SwingUtilities.invokeLater(new Runnable() {
@Override
public void run() {
new Hull(args);
}
});
}
}

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samples/java/tutorial_code/ShapeDescriptors/moments/MomentsDemo.java Normal file
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import java.awt.BorderLayout;
import java.awt.Container;
import java.awt.Image;
import java.util.ArrayList;
import java.util.List;
import java.util.Random;
import javax.swing.BoxLayout;
import javax.swing.ImageIcon;
import javax.swing.JFrame;
import javax.swing.JLabel;
import javax.swing.JPanel;
import javax.swing.JSlider;
import javax.swing.event.ChangeEvent;
import javax.swing.event.ChangeListener;
import org.opencv.core.Core;
import org.opencv.core.CvType;
import org.opencv.core.Mat;
import org.opencv.core.MatOfPoint;
import org.opencv.core.MatOfPoint2f;
import org.opencv.core.Point;
import org.opencv.core.Scalar;
import org.opencv.core.Size;
import org.opencv.highgui.HighGui;
import org.opencv.imgcodecs.Imgcodecs;
import org.opencv.imgproc.Imgproc;
import org.opencv.imgproc.Moments;
class MomentsClass {
private Mat srcGray = new Mat();
private JFrame frame;
private JLabel imgSrcLabel;
private JLabel imgContoursLabel;
private static final int MAX_THRESHOLD = 255;
private int threshold = 100;
private Random rng = new Random(12345);
public MomentsClass(String[] args) {
//! [setup]
/// Load source image
String filename = args.length > 0 ? args[0] : "../data/stuff.jpg";
Mat src = Imgcodecs.imread(filename);
if (src.empty()) {
System.err.println("Cannot read image: " + filename);
System.exit(0);
}
/// Convert image to gray and blur it
Imgproc.cvtColor(src, srcGray, Imgproc.COLOR_BGR2GRAY);
Imgproc.blur(srcGray, srcGray, new Size(3, 3));
//! [setup]
//! [createWindow]
// Create and set up the window.
frame = new JFrame("Image Moments demo");
frame.setDefaultCloseOperation(JFrame.EXIT_ON_CLOSE);
// Set up the content pane.
Image img = HighGui.toBufferedImage(src);
addComponentsToPane(frame.getContentPane(), img);
//! [createWindow]
// Use the content pane's default BorderLayout. No need for
// setLayout(new BorderLayout());
// Display the window.
frame.pack();
frame.setVisible(true);
update();
}
private void addComponentsToPane(Container pane, Image img) {
if (!(pane.getLayout() instanceof BorderLayout)) {
pane.add(new JLabel("Container doesn't use BorderLayout!"));
return;
}
JPanel sliderPanel = new JPanel();
sliderPanel.setLayout(new BoxLayout(sliderPanel, BoxLayout.PAGE_AXIS));
//! [trackbar]
sliderPanel.add(new JLabel("Canny threshold: "));
JSlider slider = new JSlider(0, MAX_THRESHOLD, threshold);
slider.setMajorTickSpacing(20);
slider.setMinorTickSpacing(10);
slider.setPaintTicks(true);
slider.setPaintLabels(true);
slider.addChangeListener(new ChangeListener() {
@Override
public void stateChanged(ChangeEvent e) {
JSlider source = (JSlider) e.getSource();
threshold = source.getValue();
update();
}
});
//! [trackbar]
sliderPanel.add(slider);
pane.add(sliderPanel, BorderLayout.PAGE_START);
JPanel imgPanel = new JPanel();
imgSrcLabel = new JLabel(new ImageIcon(img));
imgPanel.add(imgSrcLabel);
Mat blackImg = Mat.zeros(srcGray.size(), CvType.CV_8U);
imgContoursLabel = new JLabel(new ImageIcon(HighGui.toBufferedImage(blackImg)));
imgPanel.add(imgContoursLabel);
pane.add(imgPanel, BorderLayout.CENTER);
}
private void update() {
//! [Canny]
/// Detect edges using Canny
Mat cannyOutput = new Mat();
Imgproc.Canny(srcGray, cannyOutput, threshold, threshold * 2);
//! [Canny]
//! [findContours]
/// Find contours
List<MatOfPoint> contours = new ArrayList<>();
Mat hierarchy = new Mat();
Imgproc.findContours(cannyOutput, contours, hierarchy, Imgproc.RETR_TREE, Imgproc.CHAIN_APPROX_SIMPLE);
//! [findContours]
/// Get the moments
List<Moments> mu = new ArrayList<>(contours.size());
for (int i = 0; i < contours.size(); i++) {
mu.add(Imgproc.moments(contours.get(i)));
}
/// Get the mass centers
List<Point> mc = new ArrayList<>(contours.size());
for (int i = 0; i < contours.size(); i++) {
//add 1e-5 to avoid division by zero
mc.add(new Point(mu.get(i).m10 / (mu.get(i).m00 + 1e-5), mu.get(i).m01 / (mu.get(i).m00 + 1e-5)));
}
//! [zeroMat]
/// Draw contours
Mat drawing = Mat.zeros(cannyOutput.size(), CvType.CV_8UC3);
//! [zeroMat]
//! [forContour]
for (int i = 0; i < contours.size(); i++) {
Scalar color = new Scalar(rng.nextInt(256), rng.nextInt(256), rng.nextInt(256));
Imgproc.drawContours(drawing, contours, i, color, 2);
Imgproc.circle(drawing, mc.get(i), 4, color, -1);
}
//! [forContour]
//! [showDrawings]
/// Show in a window
imgContoursLabel.setIcon(new ImageIcon(HighGui.toBufferedImage(drawing)));
frame.repaint();
//! [showDrawings]
/// Calculate the area with the moments 00 and compare with the result of the OpenCV function
System.out.println("\t Info: Area and Contour Length \n");
for (int i = 0; i < contours.size(); i++) {
System.out.format(" * Contour[%d] - Area (M_00) = %.2f - Area OpenCV: %.2f - Length: %.2f\n", i,
mu.get(i).m00, Imgproc.contourArea(contours.get(i)),
Imgproc.arcLength(new MatOfPoint2f(contours.get(i).toArray()), true));
}
}
}
public class MomentsDemo {
public static void main(String[] args) {
// Load the native OpenCV library
System.loadLibrary(Core.NATIVE_LIBRARY_NAME);
// Schedule a job for the event dispatch thread:
// creating and showing this application's GUI.
javax.swing.SwingUtilities.invokeLater(new Runnable() {
@Override
public void run() {
new MomentsClass(args);
}
});
}
}

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samples/java/tutorial_code/ShapeDescriptors/point_polygon_test/PointPolygonTestDemo.java Normal file
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import java.util.ArrayList;
import java.util.List;
import org.opencv.core.Core;
import org.opencv.core.Core.MinMaxLocResult;
import org.opencv.core.CvType;
import org.opencv.core.Mat;
import org.opencv.core.MatOfPoint;
import org.opencv.core.MatOfPoint2f;
import org.opencv.core.Point;
import org.opencv.core.Scalar;
import org.opencv.core.Size;
import org.opencv.highgui.HighGui;
import org.opencv.imgproc.Imgproc;
class PointPolygonTest {
public void run() {
/// Create an image
int r = 100;
Mat src = Mat.zeros(new Size(4 * r, 4 * r), CvType.CV_8U);
/// Create a sequence of points to make a contour
List<Point> vert = new ArrayList<>(6);
vert.add(new Point(3 * r / 2, 1.34 * r));
vert.add(new Point(1 * r, 2 * r));
vert.add(new Point(3 * r / 2, 2.866 * r));
vert.add(new Point(5 * r / 2, 2.866 * r));
vert.add(new Point(3 * r, 2 * r));
vert.add(new Point(5 * r / 2, 1.34 * r));
/// Draw it in src
for (int i = 0; i < 6; i++) {
Imgproc.line(src, vert.get(i), vert.get((i + 1) % 6), new Scalar(255), 3);
}
/// Get the contours
List<MatOfPoint> contours = new ArrayList<>();
Mat hierarchy = new Mat();
Imgproc.findContours(src, contours, hierarchy, Imgproc.RETR_TREE, Imgproc.CHAIN_APPROX_SIMPLE);
/// Calculate the distances to the contour
Mat rawDist = new Mat(src.size(), CvType.CV_32F);
float[] rawDistData = new float[(int) (rawDist.total() * rawDist.channels())];
for (int i = 0; i < src.rows(); i++) {
for (int j = 0; j < src.cols(); j++) {
rawDistData[i * src.cols() + j] = (float) Imgproc
.pointPolygonTest(new MatOfPoint2f(contours.get(0).toArray()), new Point(j, i), true);
}
}
rawDist.put(0, 0, rawDistData);
MinMaxLocResult res = Core.minMaxLoc(rawDist);
double minVal = Math.abs(res.minVal);
double maxVal = Math.abs(res.maxVal);
/// Depicting the distances graphically
Mat drawing = Mat.zeros(src.size(), CvType.CV_8UC3);
byte[] drawingData = new byte[(int) (drawing.total() * drawing.channels())];
for (int i = 0; i < src.rows(); i++) {
for (int j = 0; j < src.cols(); j++) {
if (rawDistData[i * src.cols() + j] < 0) {
drawingData[(i * src.cols() + j) * 3] =
(byte) (255 - Math.abs(rawDistData[i * src.cols() + j]) * 255 / minVal);
} else if (rawDistData[i * src.cols() + j] > 0) {
drawingData[(i * src.cols() + j) * 3 + 2] =
(byte) (255 - rawDistData[i * src.cols() + j] * 255 / maxVal);
} else {
drawingData[(i * src.cols() + j) * 3] = (byte) 255;
drawingData[(i * src.cols() + j) * 3 + 1] = (byte) 255;
drawingData[(i * src.cols() + j) * 3 + 2] = (byte) 255;
}
}
}
drawing.put(0, 0, drawingData);
/// Show your results
HighGui.imshow("Source", src);
HighGui.imshow("Distance", drawing);
HighGui.waitKey();
System.exit(0);
}
}
public class PointPolygonTestDemo {
public static void main(String[] args) {
// Load the native OpenCV library
System.loadLibrary(Core.NATIVE_LIBRARY_NAME);
new PointPolygonTest().run();
}
}

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samples/python/tutorial_code/ShapeDescriptors/bounding_rects_circles/generalContours_demo1.py Normal file
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from __future__ import print_function
import cv2 as cv
import numpy as np
import argparse
import random as rng
rng.seed(12345)
def thresh_callback(val):
threshold = val
## [Canny]
# Detect edges using Canny
canny_output = cv.Canny(src_gray, threshold, threshold * 2)
## [Canny]
## [findContours]
# Find contours
_, contours, _ = cv.findContours(canny_output, cv.RETR_TREE, cv.CHAIN_APPROX_SIMPLE)
## [findContours]
## [allthework]
# Approximate contours to polygons + get bounding rects and circles
contours_poly = [None]*len(contours)
boundRect = [None]*len(contours)
centers = [None]*len(contours)
radius = [None]*len(contours)
for i in range(len(contours)):
contours_poly[i] = cv.approxPolyDP(contours[i], 3, True)
boundRect[i] = cv.boundingRect(contours_poly[i])
centers[i], radius[i] = cv.minEnclosingCircle(contours_poly[i])
## [allthework]
## [zeroMat]
drawing = np.zeros((canny_output.shape[0], canny_output.shape[1], 3), dtype=np.uint8)
## [zeroMat]
## [forContour]
# Draw polygonal contour + bonding rects + circles
for i in range(len(contours)):
color = (rng.randint(0,256), rng.randint(0,256), rng.randint(0,256))
cv.drawContours(drawing, contours_poly, i, color)
cv.rectangle(drawing, (int(boundRect[i][0]), int(boundRect[i][1])), \
(int(boundRect[i][0]+boundRect[i][2]), int(boundRect[i][1]+boundRect[i][3])), color, 2)
cv.circle(drawing, (int(centers[i][0]), int(centers[i][1])), int(radius[i]), color, 2)
## [forContour]
## [showDrawings]
# Show in a window
cv.imshow('Contours', drawing)
## [showDrawings]
## [setup]
# Load source image
parser = argparse.ArgumentParser(description='Code for Creating Bounding boxes and circles for contours tutorial.')
parser.add_argument('--input', help='Path to input image.', default='../data/stuff.jpg')
args = parser.parse_args()
src = cv.imread(args.input)
if src is None:
print('Could not open or find the image:', args.input)
exit(0)
# Convert image to gray and blur it
src_gray = cv.cvtColor(src, cv.COLOR_BGR2GRAY)
src_gray = cv.blur(src_gray, (3,3))
## [setup]
## [createWindow]
# Create Window
source_window = 'Source'
cv.namedWindow(source_window)
cv.imshow(source_window, src)
## [createWindow]
## [trackbar]
max_thresh = 255
thresh = 100 # initial threshold
cv.createTrackbar('Canny thresh:', source_window, thresh, max_thresh, thresh_callback)
thresh_callback(thresh)
## [trackbar]
cv.waitKey()

82
samples/python/tutorial_code/ShapeDescriptors/bounding_rotated_ellipses/generalContours_demo2.py Normal file
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from __future__ import print_function
import cv2 as cv
import numpy as np
import argparse
import random as rng
rng.seed(12345)
def thresh_callback(val):
threshold = val
## [Canny]
# Detect edges using Canny
canny_output = cv.Canny(src_gray, threshold, threshold * 2)
## [Canny]
## [findContours]
# Find contours
_, contours, _ = cv.findContours(canny_output, cv.RETR_TREE, cv.CHAIN_APPROX_SIMPLE)
## [findContours]
# Find the rotated rectangles and ellipses for each contour
minRect = [None]*len(contours)
minEllipse = [None]*len(contours)
for i in range(len(contours)):
minRect[i] = cv.minAreaRect(contours[i])
if contours[i].shape[0] > 5:
minEllipse[i] = cv.fitEllipse(contours[i])
# Draw contours + rotated rects + ellipses
## [zeroMat]
drawing = np.zeros((canny_output.shape[0], canny_output.shape[1], 3), dtype=np.uint8)
## [zeroMat]
## [forContour]
for i in range(len(contours)):
color = (rng.randint(0,256), rng.randint(0,256), rng.randint(0,256))
# contour
cv.drawContours(drawing, contours, i, color)
# ellipse
if contours[i].shape[0] > 5:
cv.ellipse(drawing, minEllipse[i], color, 2)
# rotated rectangle
box = cv.boxPoints(minRect[i])
box = np.intp(box) #np.intp: Integer used for indexing (same as C ssize_t; normally either int32 or int64)
cv.drawContours(drawing, [box], 0, color)
## [forContour]
## [showDrawings]
# Show in a window
cv.imshow('Contours', drawing)
## [showDrawings]
## [setup]
# Load source image
parser = argparse.ArgumentParser(description='Code for Creating Bounding rotated boxes and ellipses for contours tutorial.')
parser.add_argument('--input', help='Path to input image.', default='../data/stuff.jpg')
args = parser.parse_args()
src = cv.imread(args.input)
if src is None:
print('Could not open or find the image:', args.input)
exit(0)
# Convert image to gray and blur it
src_gray = cv.cvtColor(src, cv.COLOR_BGR2GRAY)
src_gray = cv.blur(src_gray, (3,3))
## [setup]
## [createWindow]
# Create Window
source_window = 'Source'
cv.namedWindow(source_window)
cv.imshow(source_window, src)
## [createWindow]
## [trackbar]
max_thresh = 255
thresh = 100 # initial threshold
cv.createTrackbar('Canny Thresh:', source_window, thresh, max_thresh, thresh_callback)
thresh_callback(thresh)
## [trackbar]
cv.waitKey()

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samples/python/tutorial_code/ShapeDescriptors/find_contours/findContours_demo.py Normal file
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from __future__ import print_function
import cv2 as cv
import numpy as np
import argparse
import random as rng
rng.seed(12345)
def thresh_callback(val):
threshold = val
# Detect edges using Canny
canny_output = cv.Canny(src_gray, threshold, threshold * 2)
# Find contours
_, contours, hierarchy = cv.findContours(canny_output, cv.RETR_TREE, cv.CHAIN_APPROX_SIMPLE)
# Draw contours
drawing = np.zeros((canny_output.shape[0], canny_output.shape[1], 3), dtype=np.uint8)
for i in range(len(contours)):
color = (rng.randint(0,256), rng.randint(0,256), rng.randint(0,256))
cv.drawContours(drawing, contours, i, color, 2, cv.LINE_8, hierarchy, 0)
# Show in a window
cv.imshow('Contours', drawing)
# Load source image
parser = argparse.ArgumentParser(description='Code for Finding contours in your image tutorial.')
parser.add_argument('--input', help='Path to input image.', default='../data/HappyFish.jpg')
args = parser.parse_args()
src = cv.imread(args.input)
if src is None:
print('Could not open or find the image:', args.input)
exit(0)
# Convert image to gray and blur it
src_gray = cv.cvtColor(src, cv.COLOR_BGR2GRAY)
src_gray = cv.blur(src_gray, (3,3))
# Create Window
source_window = 'Source'
cv.namedWindow(source_window)
cv.imshow(source_window, src)
max_thresh = 255
thresh = 100 # initial threshold
cv.createTrackbar('Canny Thresh:', source_window, thresh, max_thresh, thresh_callback)
thresh_callback(thresh)
cv.waitKey()

57
samples/python/tutorial_code/ShapeDescriptors/hull/hull_demo.py Normal file
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from __future__ import print_function
import cv2 as cv
import numpy as np
import argparse
import random as rng
rng.seed(12345)
def thresh_callback(val):
threshold = val
# Detect edges using Canny
canny_output = cv.Canny(src_gray, threshold, threshold * 2)
# Find contours
_, contours, _ = cv.findContours(canny_output, cv.RETR_TREE, cv.CHAIN_APPROX_SIMPLE)
# Find the convex hull object for each contour
hull_list = []
for i in range(len(contours)):
hull = cv.convexHull(contours[i])
hull_list.append(hull)
# Draw contours + hull results
drawing = np.zeros((canny_output.shape[0], canny_output.shape[1], 3), dtype=np.uint8)
for i in range(len(contours)):
color = (rng.randint(0,256), rng.randint(0,256), rng.randint(0,256))
cv.drawContours(drawing, contours, i, color)
cv.drawContours(drawing, hull_list, i, color)
# Show in a window
cv.imshow('Contours', drawing)
# Load source image
parser = argparse.ArgumentParser(description='Code for Convex Hull tutorial.')
parser.add_argument('--input', help='Path to input image.', default='../data/stuff.jpg')
args = parser.parse_args()
src = cv.imread(args.input)
if src is None:
print('Could not open or find the image:', args.input)
exit(0)
# Convert image to gray and blur it
src_gray = cv.cvtColor(src, cv.COLOR_BGR2GRAY)
src_gray = cv.blur(src_gray, (3,3))
# Create Window
source_window = 'Source'
cv.namedWindow(source_window)
cv.imshow(source_window, src)
max_thresh = 255
thresh = 100 # initial threshold
cv.createTrackbar('Canny thresh:', source_window, thresh, max_thresh, thresh_callback)
thresh_callback(thresh)
cv.waitKey()

83
samples/python/tutorial_code/ShapeDescriptors/moments/moments_demo.py Normal file
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from __future__ import print_function
from __future__ import division
import cv2 as cv
import numpy as np
import argparse
import random as rng
rng.seed(12345)
def thresh_callback(val):
threshold = val
## [Canny]
# Detect edges using Canny
canny_output = cv.Canny(src_gray, threshold, threshold * 2)
## [Canny]
## [findContours]
# Find contours
_, contours, _ = cv.findContours(canny_output, cv.RETR_TREE, cv.CHAIN_APPROX_SIMPLE)
## [findContours]
# Get the moments
mu = [None]*len(contours)
for i in range(len(contours)):
mu[i] = cv.moments(contours[i])
# Get the mass centers
mc = [None]*len(contours)
for i in range(len(contours)):
# add 1e-5 to avoid division by zero
mc[i] = (mu[i]['m10'] / (mu[i]['m00'] + 1e-5), mu[i]['m01'] / (mu[i]['m00'] + 1e-5))
# Draw contours
## [zeroMat]
drawing = np.zeros((canny_output.shape[0], canny_output.shape[1], 3), dtype=np.uint8)
## [zeroMat]
## [forContour]
for i in range(len(contours)):
color = (rng.randint(0,256), rng.randint(0,256), rng.randint(0,256))
cv.drawContours(drawing, contours, i, color, 2)
cv.circle(drawing, (int(mc[i][0]), int(mc[i][1])), 4, color, -1)
## [forContour]
## [showDrawings]
# Show in a window
cv.imshow('Contours', drawing)
## [showDrawings]
# Calculate the area with the moments 00 and compare with the result of the OpenCV function
for i in range(len(contours)):
print(' * Contour[%d] - Area (M_00) = %.2f - Area OpenCV: %.2f - Length: %.2f' % (i, mu[i]['m00'], cv.contourArea(contours[i]), cv.arcLength(contours[i], True)))
## [setup]
# Load source image
parser = argparse.ArgumentParser(description='Code for Image Moments tutorial.')
parser.add_argument('--input', help='Path to input image.', default='../data/stuff.jpg')
args = parser.parse_args()
src = cv.imread(args.input)
if src is None:
print('Could not open or find the image:', args.input)
exit(0)
# Convert image to gray and blur it
src_gray = cv.cvtColor(src, cv.COLOR_BGR2GRAY)
src_gray = cv.blur(src_gray, (3,3))
## [setup]
## [createWindow]
# Create Window
source_window = 'Source'
cv.namedWindow(source_window)
cv.imshow(source_window, src)
## [createWindow]
## [trackbar]
max_thresh = 255
thresh = 100 # initial threshold
cv.createTrackbar('Canny Thresh:', source_window, thresh, max_thresh, thresh_callback)
thresh_callback(thresh)
## [trackbar]
cv.waitKey()

51
samples/python/tutorial_code/ShapeDescriptors/point_polygon_test/pointPolygonTest_demo.py Normal file
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from __future__ import print_function
from __future__ import division
import cv2 as cv
import numpy as np
# Create an image
r = 100
src = np.zeros((4*r, 4*r), dtype=np.uint8)
# Create a sequence of points to make a contour
vert = [None]*6
vert[0] = (3*r//2, int(1.34*r))
vert[1] = (1*r, 2*r)
vert[2] = (3*r//2, int(2.866*r))
vert[3] = (5*r//2, int(2.866*r))
vert[4] = (3*r, 2*r)
vert[5] = (5*r//2, int(1.34*r))
# Draw it in src
for i in range(6):
cv.line(src, vert[i], vert[(i+1)%6], ( 255 ), 3)
# Get the contours
_, contours, _ = cv.findContours(src, cv.RETR_TREE, cv.CHAIN_APPROX_SIMPLE)
# Calculate the distances to the contour
raw_dist = np.empty(src.shape, dtype=np.float32)
for i in range(src.shape[0]):
for j in range(src.shape[1]):
raw_dist[i,j] = cv.pointPolygonTest(contours[0], (j,i), True)
minVal, maxVal, _, _ = cv.minMaxLoc(raw_dist)
minVal = abs(minVal)
maxVal = abs(maxVal)
# Depicting the distances graphically
drawing = np.zeros((src.shape[0], src.shape[1], 3), dtype=np.uint8)
for i in range(src.shape[0]):
for j in range(src.shape[1]):
if raw_dist[i,j] < 0:
drawing[i,j,0] = 255 - abs(raw_dist[i,j]) * 255 / minVal
elif raw_dist[i,j] > 0:
drawing[i,j,2] = 255 - raw_dist[i,j] * 255 / maxVal
else:
drawing[i,j,0] = 255
drawing[i,j,1] = 255
drawing[i,j,2] = 255
cv.imshow('Source', src)
cv.imshow('Distance', drawing)
cv.waitKey()