New basic filter sample added

This commit is contained in:
Ana Huaman 2011-06-17 20:13:53 +00:00
parent 6229af93d6
commit 3ca31dcdb6
9 changed files with 114 additions and 5 deletions

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@ -32,8 +32,8 @@ int main( int argc, char** argv )
{ alpha = input; }
/// Read image ( same size, same type )
src1 = imread("../../images/LinuxLogo.jpg");
src2 = imread("../../images/WindowsLogo.jpg");
src1 = imread("../images/LinuxLogo.jpg");
src2 = imread("../images/WindowsLogo.jpg");
if( !src1.data ) { printf("Error loading src1 \n"); return -1; }
if( !src2.data ) { printf("Error loading src2 \n"); return -1; }

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@ -43,8 +43,8 @@ void on_trackbar( int, void* )
int main( int argc, char** argv )
{
/// Read image ( same size, same type )
src1 = imread("../../images/LinuxLogo.jpg");
src2 = imread("../../images/WindowsLogo.jpg");
src1 = imread("../images/LinuxLogo.jpg");
src2 = imread("../images/WindowsLogo.jpg");
if( !src1.data ) { printf("Error loading src1 \n"); return -1; }
if( !src2.data ) { printf("Error loading src2 \n"); return -1; }

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@ -36,7 +36,7 @@ int main( int argc, char** argv )
cvtColor( image, gray_image, CV_RGB2GRAY );
/// Save our gray image
imwrite( "../../images/Gray_Image.png", gray_image );
imwrite( "../images/Gray_Image.png", gray_image );
/// Create a couple of windows and show our images
namedWindow( imageName, CV_WINDOW_AUTOSIZE );

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@ -0,0 +1,109 @@
/**
* file FilterDemo1.cpp
* brief Sample code for simple filters
* author OpenCV team
*/
#include <iostream>
#include <vector>
#include "opencv2/imgproc/imgproc.hpp"
#include "opencv2/highgui/highgui.hpp"
#include "opencv2/features2d/features2d.hpp"
using namespace std;
using namespace cv;
/// Global Variables
int DELAY_CAPTION = 1500;
int DELAY_BLUR = 100;
int MAX_KERNEL_LENGTH = 31;
Mat src; Mat dst;
char window_name[] = "Filter Demo 1";
/// Function headers
int display_caption( char* caption );
int display_dst( int delay );
/**
* function main
*/
int main( int argc, char** argv )
{
namedWindow( window_name, CV_WINDOW_AUTOSIZE );
/// Load the source image
src = imread( "../images/lena.png", 1 );
if( display_caption( "Original Image" ) != 0 ) { return 0; }
dst = src.clone();
if( display_dst( DELAY_CAPTION ) != 0 ) { return 0; }
/// Applying Homogeneous blur
if( display_caption( "Homogeneous Blur" ) != 0 ) { return 0; }
for ( int i = 1; i < MAX_KERNEL_LENGTH; i = i + 2 )
{ blur( src, dst, Size( i, i ), Point(-1,-1) );
if( display_dst( DELAY_BLUR ) != 0 ) { return 0; } }
/// Applying Gaussian blur
if( display_caption( "Gaussian Blur" ) != 0 ) { return 0; }
for ( int i = 1; i < MAX_KERNEL_LENGTH; i = i + 2 )
{ GaussianBlur( src, dst, Size( i, i ), 0, 0 );
if( display_dst( DELAY_BLUR ) != 0 ) { return 0; } }
/// Applying Median blur
if( display_caption( "Median Blur" ) != 0 ) { return 0; }
for ( int i = 1; i < MAX_KERNEL_LENGTH; i = i + 2 )
{ medianBlur ( src, dst, i );
if( display_dst( DELAY_BLUR ) != 0 ) { return 0; } }
/// Applying Bilateral Filter
if( display_caption( "Bilateral Blur" ) != 0 ) { return 0; }
for ( int i = 1; i < MAX_KERNEL_LENGTH; i = i + 2 )
{ bilateralFilter ( src, dst, i, i*2, i/2 );
if( display_dst( DELAY_BLUR ) != 0 ) { return 0; } }
/// Wait until user press a key
display_caption( "End: Press a key!" );
waitKey(0);
return 0;
}
/**
* @function display_caption
*/
int display_caption( char* caption )
{
dst = Mat::zeros( src.size(), src.type() );
putText( dst, caption,
Point( src.cols/4, src.rows/2),
CV_FONT_HERSHEY_COMPLEX, 1, Scalar(255, 255, 255) );
imshow( window_name, dst );
int c = waitKey( DELAY_CAPTION );
if( c >= 0 ) { return -1; }
return 0;
}
/**
* @function display_dst
*/
int display_dst( int delay )
{
imshow( window_name, dst );
int c = waitKey ( delay );
if( c >= 0 ) { return -1; }
return 0;
}

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