/** * file Smoothing.cpp * brief Sample code for simple filters * author OpenCV team */ #include #include "opencv2/imgproc.hpp" #include "opencv2/imgcodecs.hpp" #include "opencv2/highgui.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[] = "Smoothing Demo"; /// Function headers int display_caption( const char* caption ); int display_dst( int delay ); /** * function main */ int main( int argc, char ** argv ) { namedWindow( window_name, WINDOW_AUTOSIZE ); /// Load the source image const char* filename = argc >=2 ? argv[1] : "../data/lena.jpg"; src = imread( filename, IMREAD_COLOR ); if(src.empty()){ printf(" Error opening image\n"); printf(" Usage: ./Smoothing [image_name -- default ../data/lena.jpg] \n"); return -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; } //![blur] 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; } } //![blur] /// Applying Gaussian blur if( display_caption( "Gaussian Blur" ) != 0 ) { return 0; } //![gaussianblur] 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; } } //![gaussianblur] /// Applying Median blur if( display_caption( "Median Blur" ) != 0 ) { return 0; } //![medianblur] for ( int i = 1; i < MAX_KERNEL_LENGTH; i = i + 2 ) { medianBlur ( src, dst, i ); if( display_dst( DELAY_BLUR ) != 0 ) { return 0; } } //![medianblur] /// Applying Bilateral Filter if( display_caption( "Bilateral Blur" ) != 0 ) { return 0; } //![bilateralfilter] 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; } } //![bilateralfilter] /// Done display_caption( "Done!" ); return 0; } /** * @function display_caption */ int display_caption( const char* caption ) { dst = Mat::zeros( src.size(), src.type() ); putText( dst, caption, Point( src.cols/4, src.rows/2), FONT_HERSHEY_COMPLEX, 1, Scalar(255, 255, 255) ); return display_dst(DELAY_CAPTION); } /** * @function display_dst */ int display_dst( int delay ) { imshow( window_name, dst ); int c = waitKey ( delay ); if( c >= 0 ) { return -1; } return 0; }