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78 lines
2.1 KiB
C++
78 lines
2.1 KiB
C++
#include "opencv2/highgui/highgui.hpp"
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#include "opencv2/core/core.hpp"
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#include "opencv2/imgproc/imgproc.hpp"
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#include <iostream>
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using namespace cv;
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using namespace std;
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void help(char** argv)
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{
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cout << "\nDemonstrate mean-shift based color segmentation in spatial pyramid.\n"
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<< "Call:\n " << argv[0] << " image\n"
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<< "This program allows you to set the spatial and color radius\n"
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<< "of the mean shift window as well as the number of pyramid reduction levels explored\n"
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<< endl;
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}
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//This colors the segmentations
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void floodFillPostprocess( Mat& img, const Scalar& colorDiff=Scalar::all(1) )
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{
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CV_Assert( !img.empty() );
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RNG rng = theRNG();
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Mat mask( img.rows+2, img.cols+2, CV_8UC1, Scalar::all(0) );
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for( int y = 0; y < img.rows; y++ )
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{
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for( int x = 0; x < img.cols; x++ )
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{
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if( mask.at<uchar>(y+1, x+1) == 0 )
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{
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Scalar newVal( rng(256), rng(256), rng(256) );
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floodFill( img, mask, Point(x,y), newVal, 0, colorDiff, colorDiff );
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}
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}
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}
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}
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string winName = "meanshift";
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int spatialRad, colorRad, maxPyrLevel;
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Mat img, res;
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void meanShiftSegmentation( int, void* )
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{
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cout << "spatialRad=" << spatialRad << "; "
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<< "colorRad=" << colorRad << "; "
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<< "maxPyrLevel=" << maxPyrLevel << endl;
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pyrMeanShiftFiltering( img, res, spatialRad, colorRad, maxPyrLevel );
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floodFillPostprocess( res, Scalar::all(2) );
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imshow( winName, res );
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}
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int main(int argc, char** argv)
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{
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if( argc !=2 )
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{
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help(argv);
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return -1;
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}
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img = imread( argv[1] );
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if( img.empty() )
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return -1;
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spatialRad = 10;
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colorRad = 10;
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maxPyrLevel = 1;
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namedWindow( winName, CV_WINDOW_AUTOSIZE );
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createTrackbar( "spatialRad", winName, &spatialRad, 80, meanShiftSegmentation );
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createTrackbar( "colorRad", winName, &colorRad, 60, meanShiftSegmentation );
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createTrackbar( "maxPyrLevel", winName, &maxPyrLevel, 5, meanShiftSegmentation );
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meanShiftSegmentation(0, 0);
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waitKey();
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return 0;
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}
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