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98db891851
in sample codes instead of cpp files' name.
186 lines
5.1 KiB
C++
186 lines
5.1 KiB
C++
#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 <stdio.h>
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using namespace std;
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using namespace cv;
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int maskSize0 = DIST_MASK_5;
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int voronoiType = -1;
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int edgeThresh = 100;
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int distType0 = 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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static 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 = voronoiType >= 0 ? DIST_MASK_5 : maskSize0;
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int distType = voronoiType >= 0 ? DIST_L2 : distType0;
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Mat edge = gray >= edgeThresh, dist, labels, dist8u;
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if( voronoiType < 0 )
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distanceTransform( edge, dist, distType, maskSize );
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else
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distanceTransform( edge, dist, labels, distType, maskSize, voronoiType );
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if( voronoiType < 0 )
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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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float scale = 1.f/(1 + dd[j]*dd[j]*0.0004f);
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int b = cvRound(colors[idx][0]*scale);
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int g = cvRound(colors[idx][1]*scale);
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int r = cvRound(colors[idx][2]*scale);
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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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static void help(const char** argv)
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{
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printf("\nProgram to demonstrate the use of the distance transform function between edge images.\n"
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"Usage:\n"
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"%s [image_name -- default image is stuff.jpg]\n"
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"\nHot 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 to Voronoi diagram mode\n"
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"\tp - switch to pixel-based Voronoi diagram mode\n"
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"\tSPACE - loop through all the modes\n\n", argv[0]);
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}
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const char* keys =
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{
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"{help h||}{@image |stuff.jpg|input image file}"
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};
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int main( int argc, const char** argv )
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{
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CommandLineParser parser(argc, argv, keys);
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help(argv);
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if (parser.has("help"))
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return 0;
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string filename = parser.get<string>(0);
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gray = imread(samples::findFile(filename), 0);
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if(gray.empty())
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{
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printf("Cannot read image file: %s\n", filename.c_str());
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help(argv);
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return -1;
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}
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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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char c = (char)waitKey(0);
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if( c == 27 )
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break;
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if( c == 'c' || c == 'C' || c == '1' || c == '2' ||
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c == '3' || c == '5' || c == '0' )
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voronoiType = -1;
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if( c == 'c' || c == 'C' )
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distType0 = DIST_C;
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else if( c == '1' )
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distType0 = DIST_L1;
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else if( c == '2' )
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distType0 = DIST_L2;
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else if( c == '3' )
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maskSize0 = DIST_MASK_3;
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else if( c == '5' )
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maskSize0 = DIST_MASK_5;
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else if( c == '0' )
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maskSize0 = DIST_MASK_PRECISE;
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else if( c == 'v' )
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voronoiType = 0;
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else if( c == 'p' )
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voronoiType = 1;
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else if( c == ' ' )
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{
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if( voronoiType == 0 )
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voronoiType = 1;
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else if( voronoiType == 1 )
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{
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voronoiType = -1;
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maskSize0 = DIST_MASK_3;
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distType0 = DIST_C;
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}
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else if( distType0 == DIST_C )
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distType0 = DIST_L1;
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else if( distType0 == DIST_L1 )
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distType0 = DIST_L2;
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else if( maskSize0 == DIST_MASK_3 )
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maskSize0 = DIST_MASK_5;
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else if( maskSize0 == DIST_MASK_5 )
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maskSize0 = DIST_MASK_PRECISE;
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else if( maskSize0 == DIST_MASK_PRECISE )
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voronoiType = 0;
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}
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}
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return 0;
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}
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