opencv/samples/cpp/fitellipse.cpp

105 lines
2.7 KiB
C++
Raw Normal View History

/********************************************************************************
*
*
* This program is demonstration for ellipse fitting. Program finds
* contours and approximate it by ellipses.
*
* Trackbar specify threshold parametr.
*
* White lines is contours. Red lines is fitting ellipses.
*
*
* Autor: Denis Burenkov.
*
*
*
********************************************************************************/
2016-02-15 21:37:29 +08:00
#include "opencv2/imgproc.hpp"
2014-07-04 22:48:15 +08:00
#include "opencv2/imgcodecs.hpp"
2016-02-15 21:37:29 +08:00
#include "opencv2/highgui.hpp"
2010-11-28 07:15:16 +08:00
#include <iostream>
2016-02-15 21:37:29 +08:00
2010-11-28 07:15:16 +08:00
using namespace cv;
using namespace std;
2015-08-01 23:24:23 +08:00
static void help()
{
cout <<
"\nThis program is demonstration for ellipse fitting. The program finds\n"
"contours and approximate it by ellipses.\n"
"Call:\n"
"./fitellipse [image_name -- Default ../data/stuff.jpg]\n" << endl;
}
2010-12-04 16:30:19 +08:00
2010-11-28 07:15:16 +08:00
int sliderPos = 70;
Mat image;
void processImage(int, void*);
int main( int argc, char** argv )
{
2015-08-01 23:24:23 +08:00
cv::CommandLineParser parser(argc, argv,
"{help h||}{@image|../data/stuff.jpg|}"
);
if (parser.has("help"))
{
help();
return 0;
}
string filename = parser.get<string>("@image");
2010-11-28 07:15:16 +08:00
image = imread(filename, 0);
if( image.empty() )
{
2015-08-01 23:24:23 +08:00
cout << "Couldn't open image " << filename << "\n";
2010-11-28 07:15:16 +08:00
return 0;
}
2010-11-28 07:15:16 +08:00
imshow("source", image);
namedWindow("result", 1);
2012-06-08 01:21:29 +08:00
// Create toolbars. HighGUI use.
2010-11-28 07:15:16 +08:00
createTrackbar( "threshold", "result", &sliderPos, 255, processImage );
processImage(0, 0);
// Wait for a key stroke; the same function arranges events processing
2010-11-28 07:15:16 +08:00
waitKey();
return 0;
}
// Define trackbar callback functon. This function find contours,
// draw it and approximate it by ellipses.
2010-12-21 19:37:08 +08:00
void processImage(int /*h*/, void*)
{
2010-11-28 07:15:16 +08:00
vector<vector<Point> > contours;
Mat bimage = image >= sliderPos;
2012-06-08 01:21:29 +08:00
findContours(bimage, contours, RETR_LIST, CHAIN_APPROX_NONE);
2010-11-28 07:15:16 +08:00
Mat cimage = Mat::zeros(bimage.size(), CV_8UC3);
2010-11-28 07:15:16 +08:00
for(size_t i = 0; i < contours.size(); i++)
{
2010-11-28 07:15:16 +08:00
size_t count = contours[i].size();
if( count < 6 )
continue;
2012-06-08 01:21:29 +08:00
2010-11-28 07:15:16 +08:00
Mat pointsf;
Mat(contours[i]).convertTo(pointsf, CV_32F);
RotatedRect box = fitEllipse(pointsf);
2012-06-08 01:21:29 +08:00
2010-11-28 07:15:16 +08:00
if( MAX(box.size.width, box.size.height) > MIN(box.size.width, box.size.height)*30 )
continue;
drawContours(cimage, contours, (int)i, Scalar::all(255), 1, 8);
ellipse(cimage, box, Scalar(0,0,255), 1, LINE_AA);
ellipse(cimage, box.center, box.size*0.5f, box.angle, 0, 360, Scalar(0,255,255), 1, LINE_AA);
Point2f vtx[4];
box.points(vtx);
for( int j = 0; j < 4; j++ )
line(cimage, vtx[j], vtx[(j+1)%4], Scalar(0,255,0), 1, LINE_AA);
}
2010-11-28 07:15:16 +08:00
imshow("result", cimage);
}