#include #include "opencv2/core/core.hpp" #include "opencv2/imgproc/imgproc.hpp" #include using namespace cv; using namespace std; void floodFillPostprocess( Mat& img, const Scalar& colorDiff=Scalar::all(1) ) { CV_Assert( !img.empty() ); RNG rng = theRNG(); Mat mask( img.rows+2, img.cols+2, CV_8UC1, Scalar::all(0) ); for( int y = 0; y < img.rows; y++ ) { for( int x = 0; x < img.cols; x++ ) { if( mask.at(y+1, x+1) == 0 ) { Scalar newVal( rng(256), rng(256), rng(256) ); floodFill( img, mask, Point(x,y), newVal, 0, colorDiff, colorDiff ); } } } } string winName = "meanshift"; int spatialRad, colorRad, maxPyrLevel; Mat img, res; void meanShiftSegmentation( int, void* ) { cout << "spatialRad=" << spatialRad << "; " << "colorRad=" << colorRad << "; " << "maxPyrLevel=" << maxPyrLevel << endl; pyrMeanShiftFiltering( img, res, spatialRad, colorRad, maxPyrLevel ); floodFillPostprocess( res, Scalar::all(2) ); imshow( winName, res ); } int main(int argc, char** argv) { if( argc !=2 ) { cout << "Format:" << endl << argv[0] << " image" << endl; return -1; } img = imread( argv[1] ); if( img.empty() ) return -1; spatialRad = 10; colorRad = 10; maxPyrLevel = 1; namedWindow( winName, CV_WINDOW_AUTOSIZE ); createTrackbar( "spatialRad", winName, &spatialRad, 80, meanShiftSegmentation ); createTrackbar( "colorRad", winName, &colorRad, 60, meanShiftSegmentation ); createTrackbar( "maxPyrLevel", winName, &maxPyrLevel, 5, meanShiftSegmentation ); meanShiftSegmentation(0, 0); waitKey(); return 0; }