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Open Source Computer Vision Library
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138 lines
4.2 KiB
138 lines
4.2 KiB
#include <opencv2/core/utility.hpp> |
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#include "opencv2/imgproc.hpp" |
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#include "opencv2/imgcodecs.hpp" |
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#include "opencv2/highgui.hpp" |
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#include <cstdio> |
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#include <iostream> |
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using namespace cv; |
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using namespace std; |
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static void help() |
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{ |
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cout << "\nThis program demonstrates the famous watershed segmentation algorithm in OpenCV: watershed()\n" |
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"Usage:\n" |
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"./watershed [image_name -- default is ../data/fruits.jpg]\n" << endl; |
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cout << "Hot keys: \n" |
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"\tESC - quit the program\n" |
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"\tr - restore the original image\n" |
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"\tw or SPACE - run watershed segmentation algorithm\n" |
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"\t\t(before running it, *roughly* mark the areas to segment on the image)\n" |
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"\t (before that, roughly outline several markers on the image)\n"; |
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} |
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Mat markerMask, img; |
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Point prevPt(-1, -1); |
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static void onMouse( int event, int x, int y, int flags, void* ) |
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{ |
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if( x < 0 || x >= img.cols || y < 0 || y >= img.rows ) |
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return; |
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if( event == EVENT_LBUTTONUP || !(flags & EVENT_FLAG_LBUTTON) ) |
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prevPt = Point(-1,-1); |
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else if( event == EVENT_LBUTTONDOWN ) |
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prevPt = Point(x,y); |
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else if( event == EVENT_MOUSEMOVE && (flags & EVENT_FLAG_LBUTTON) ) |
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{ |
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Point pt(x, y); |
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if( prevPt.x < 0 ) |
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prevPt = pt; |
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line( markerMask, prevPt, pt, Scalar::all(255), 5, 8, 0 ); |
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line( img, prevPt, pt, Scalar::all(255), 5, 8, 0 ); |
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prevPt = pt; |
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imshow("image", img); |
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} |
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} |
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int main( int argc, char** argv ) |
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{ |
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char* filename = argc >= 2 ? argv[1] : (char*)"../data/fruits.jpg"; |
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Mat img0 = imread(filename, 1), imgGray; |
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if( img0.empty() ) |
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{ |
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cout << "Couldn'g open image " << filename << ". Usage: watershed <image_name>\n"; |
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return 0; |
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} |
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help(); |
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namedWindow( "image", 1 ); |
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img0.copyTo(img); |
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cvtColor(img, markerMask, COLOR_BGR2GRAY); |
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cvtColor(markerMask, imgGray, COLOR_GRAY2BGR); |
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markerMask = Scalar::all(0); |
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imshow( "image", img ); |
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setMouseCallback( "image", onMouse, 0 ); |
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for(;;) |
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{ |
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int c = waitKey(0); |
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if( (char)c == 27 ) |
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break; |
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if( (char)c == 'r' ) |
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{ |
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markerMask = Scalar::all(0); |
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img0.copyTo(img); |
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imshow( "image", img ); |
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} |
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if( (char)c == 'w' || (char)c == ' ' ) |
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{ |
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int i, j, compCount = 0; |
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vector<vector<Point> > contours; |
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vector<Vec4i> hierarchy; |
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findContours(markerMask, contours, hierarchy, RETR_CCOMP, CHAIN_APPROX_SIMPLE); |
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if( contours.empty() ) |
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continue; |
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Mat markers(markerMask.size(), CV_32S); |
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markers = Scalar::all(0); |
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int idx = 0; |
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for( ; idx >= 0; idx = hierarchy[idx][0], compCount++ ) |
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drawContours(markers, contours, idx, Scalar::all(compCount+1), -1, 8, hierarchy, INT_MAX); |
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if( compCount == 0 ) |
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continue; |
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vector<Vec3b> colorTab; |
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for( i = 0; i < compCount; i++ ) |
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{ |
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int b = theRNG().uniform(0, 255); |
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int g = theRNG().uniform(0, 255); |
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int r = theRNG().uniform(0, 255); |
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colorTab.push_back(Vec3b((uchar)b, (uchar)g, (uchar)r)); |
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} |
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double t = (double)getTickCount(); |
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watershed( img0, markers ); |
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t = (double)getTickCount() - t; |
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printf( "execution time = %gms\n", t*1000./getTickFrequency() ); |
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Mat wshed(markers.size(), CV_8UC3); |
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// paint the watershed image |
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for( i = 0; i < markers.rows; i++ ) |
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for( j = 0; j < markers.cols; j++ ) |
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{ |
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int index = markers.at<int>(i,j); |
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if( index == -1 ) |
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wshed.at<Vec3b>(i,j) = Vec3b(255,255,255); |
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else if( index <= 0 || index > compCount ) |
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wshed.at<Vec3b>(i,j) = Vec3b(0,0,0); |
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else |
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wshed.at<Vec3b>(i,j) = colorTab[index - 1]; |
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} |
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wshed = wshed*0.5 + imgGray*0.5; |
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imshow( "watershed transform", wshed ); |
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} |
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} |
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return 0; |
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}
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