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Open Source Computer Vision Library
https://opencv.org/
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156 lines
4.3 KiB
156 lines
4.3 KiB
#include <opencv2/imgproc/imgproc.hpp> |
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#include <opencv2/highgui/highgui.hpp> |
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#include <stdio.h> |
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using namespace cv; |
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int maskSize0 = CV_DIST_MASK_5; |
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bool buildVoronoi = false; |
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int edgeThresh = 100; |
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int distType0 = CV_DIST_L1; |
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// The output and temporary images |
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Mat gray; |
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// threshold trackbar callback |
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void onTrackbar( int, void* ) |
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{ |
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static const Scalar colors[] = |
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{ |
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Scalar(0,0,0), |
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Scalar(255,0,0), |
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Scalar(255,128,0), |
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Scalar(255,255,0), |
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Scalar(0,255,0), |
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Scalar(0,128,255), |
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Scalar(0,255,255), |
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Scalar(0,0,255), |
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Scalar(255,0,255) |
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}; |
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int maskSize = buildVoronoi ? CV_DIST_MASK_5 : maskSize0; |
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int distType = buildVoronoi ? CV_DIST_L2 : distType0; |
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Mat edge = gray >= edgeThresh, dist, labels, dist8u; |
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if( !buildVoronoi ) |
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distanceTransform( edge, dist, distType, maskSize ); |
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else |
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distanceTransform( edge, dist, labels, distType, maskSize ); |
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if( !buildVoronoi ) |
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{ |
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// begin "painting" the distance transform result |
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dist *= 5000; |
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pow(dist, 0.5, dist); |
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Mat dist32s, dist8u1, dist8u2; |
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dist.convertTo(dist32s, CV_32S, 1, 0.5); |
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dist32s &= Scalar::all(255); |
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dist32s.convertTo(dist8u1, CV_8U, 1, 0); |
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dist32s *= -1; |
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dist32s += Scalar::all(255); |
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dist32s.convertTo(dist8u2, CV_8U); |
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Mat planes[] = {dist8u1, dist8u2, dist8u2}; |
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merge(planes, 3, dist8u); |
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} |
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else |
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{ |
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dist8u.create(labels.size(), CV_8UC3); |
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for( int i = 0; i < labels.rows; i++ ) |
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{ |
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const int* ll = (const int*)labels.ptr(i); |
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const float* dd = (const float*)dist.ptr(i); |
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uchar* d = (uchar*)dist8u.ptr(i); |
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for( int j = 0; j < labels.cols; j++ ) |
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{ |
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int idx = ll[j] == 0 || dd[j] == 0 ? 0 : (ll[j]-1)%8 + 1; |
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int b = cvRound(colors[idx][0]); |
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int g = cvRound(colors[idx][1]); |
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int r = cvRound(colors[idx][2]); |
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d[j*3] = (uchar)b; |
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d[j*3+1] = (uchar)g; |
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d[j*3+2] = (uchar)r; |
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} |
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} |
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} |
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imshow("Distance Map", dist8u ); |
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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*)"stuff.jpg"; |
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gray = imread(filename, 0); |
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if(gray.empty()) |
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{ |
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printf("Usage: distrans <image_name>\n"); |
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return 0; |
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} |
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printf( "Hot keys: \n" |
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"\tESC - quit the program\n" |
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"\tC - use C/Inf metric\n" |
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"\tL1 - use L1 metric\n" |
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"\tL2 - use L2 metric\n" |
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"\t3 - use 3x3 mask\n" |
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"\t5 - use 5x5 mask\n" |
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"\t0 - use precise distance transform\n" |
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"\tv - switch Voronoi diagram mode on/off\n" |
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"\tSPACE - loop through all the modes\n" ); |
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namedWindow("Distance Map", 1); |
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createTrackbar("Brightness Threshold", "Distance Map", &edgeThresh, 255, onTrackbar, 0); |
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for(;;) |
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{ |
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// Call to update the view |
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onTrackbar(0, 0); |
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int c = cvWaitKey(0); |
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if( (char)c == 27 ) |
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break; |
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if( (char)c == 'c' || (char)c == 'C' ) |
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distType0 = CV_DIST_C; |
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else if( (char)c == '1' ) |
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distType0 = CV_DIST_L1; |
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else if( (char)c == '2' ) |
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distType0 = CV_DIST_L2; |
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else if( (char)c == '3' ) |
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maskSize0 = CV_DIST_MASK_3; |
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else if( (char)c == '5' ) |
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maskSize0 = CV_DIST_MASK_5; |
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else if( (char)c == '0' ) |
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maskSize0 = CV_DIST_MASK_PRECISE; |
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else if( (char)c == 'v' ) |
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buildVoronoi = !buildVoronoi; |
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else if( (char)c == ' ' ) |
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{ |
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if( buildVoronoi ) |
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{ |
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buildVoronoi = false; |
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maskSize0 = CV_DIST_MASK_3; |
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distType0 = CV_DIST_C; |
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} |
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else if( distType0 == CV_DIST_C ) |
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distType0 = CV_DIST_L1; |
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else if( distType0 == CV_DIST_L1 ) |
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distType0 = CV_DIST_L2; |
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else if( maskSize0 == CV_DIST_MASK_3 ) |
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maskSize0 = CV_DIST_MASK_5; |
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else if( maskSize0 == CV_DIST_MASK_5 ) |
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maskSize0 = CV_DIST_MASK_PRECISE; |
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else if( maskSize0 == CV_DIST_MASK_PRECISE ) |
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buildVoronoi = true; |
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} |
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} |
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return 0; |
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}
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