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example_14-04.cpp
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example_14-04.cpp
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// Example 14-4. Using the shape context distance extractor
#include <algorithm>
#include <iostream>
#include <string>
#include "opencv2/opencv.hpp"
using namespace std;
using namespace cv;
static vector<Point> sampleContour( const Mat& image, int n=300 ) {
vector<vector<Point> > _contours;
vector<Point> all_points;
findContours(image, _contours, RETR_LIST, CHAIN_APPROX_NONE);
for (size_t i=0; i <_contours.size(); i++) {
for (size_t j=0; j <_contours[i].size(); j++)
all_points.push_back( _contours[i][j] );
// If too little points, replicate them
//
int dummy=0;
for (int add=(int)all_points.size(); add<n; add++)
all_points.push_back(all_points[dummy++]);
// Sample uniformly
random_shuffle(all_points.begin(), all_points.end());
vector<Point> sampled;
for (int i=0; i<n; i++)
sampled.push_back(all_points[i]);
return sampled;
}
}
void help(char** argv) {
cout << "\nExample 14-4. Using the shape context distance extractor"
<< "\nNOTE: See images to try in ../shape_sample/\n"
<< "\nCall:\n" << argv[0] << " <path/image_1> <path/image2>\n"
<< "\nMISSMATCH Example:\n" << argv[0] << " ../shape_sample/1.png ../shape_sample/3.png\n"
<< "\MATCH Example:\n" << argv[0] << " ../shape_sample/3.png ../shape_sample/4.png\n"
<< endl;
}
int main(int argc, char** argv) {
help(argv);
if(argc != 3) {
cout << "\nERROR: you need 2 parameters, you had " << argc << " parameters.\n" << endl;
return -1;
}
string path = "../data/shape_sample/";
int indexQuery = 1;
Ptr<ShapeContextDistanceExtractor> mysc = createShapeContextDistanceExtractor();
Size sz2Sh(300,300);
Mat img1=imread(argv[1], IMREAD_GRAYSCALE);
Mat img2=imread(argv[2], IMREAD_GRAYSCALE);
vector<Point> c1 = sampleContour(img1);
vector<Point> c2 = sampleContour(img2);
float dis = mysc->computeDistance( c1, c2 );
cout << "shape context distance between " <<
argv[1] << " and " << argv[2] << " is: " << dis << endl;
cv::imshow("SHAPE #1", img1);
cv::imshow("SHAPE #2",img2);
cv::waitKey();
return 0;
}