122 lines
3.5 KiB
C++
122 lines
3.5 KiB
C++
/*
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* shape_context.cpp -- Shape context demo for shape matching
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*/
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#include "opencv2/shape.hpp"
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#include "opencv2/imgcodecs.hpp"
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#include "opencv2/highgui.hpp"
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#include "opencv2/imgproc.hpp"
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#include <opencv2/core/utility.hpp>
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#include <iostream>
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#include <string>
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using namespace std;
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using namespace cv;
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static void help()
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{
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printf("\n"
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"This program demonstrates a method for shape comparison based on Shape Context\n"
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"You should run the program providing a number between 1 and 20 for selecting an image in the folder ../data/shape_sample.\n"
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"Call\n"
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"./shape_example [number between 1 and 20, 1 default]\n\n");
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}
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static vector<Point> simpleContour( const Mat& currentQuery, int n=300 )
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{
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vector<vector<Point> > _contoursQuery;
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vector <Point> contoursQuery;
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findContours(currentQuery, _contoursQuery, RETR_LIST, CHAIN_APPROX_NONE);
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for (size_t border=0; border<_contoursQuery.size(); border++)
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{
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for (size_t p=0; p<_contoursQuery[border].size(); p++)
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{
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contoursQuery.push_back( _contoursQuery[border][p] );
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}
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}
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// In case actual number of points is less than n
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int dummy=0;
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for (int add=(int)contoursQuery.size()-1; add<n; add++)
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{
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contoursQuery.push_back(contoursQuery[dummy++]); //adding dummy values
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}
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// Uniformly sampling
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cv::randShuffle(contoursQuery);
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vector<Point> cont;
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for (int i=0; i<n; i++)
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{
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cont.push_back(contoursQuery[i]);
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}
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return cont;
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}
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int main(int argc, char** argv)
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{
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string path = "data/shape_sample/";
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cv::CommandLineParser parser(argc, argv, "{help h||}{@input|1|}");
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if (parser.has("help"))
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{
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help();
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return 0;
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}
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int indexQuery = parser.get<int>("@input");
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if (!parser.check())
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{
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parser.printErrors();
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help();
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return 1;
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}
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if (indexQuery < 1 || indexQuery > 20)
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{
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help();
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return 1;
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}
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cv::Ptr <cv::ShapeContextDistanceExtractor> mysc = cv::createShapeContextDistanceExtractor();
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Size sz2Sh(300,300);
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stringstream queryName;
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queryName<<path<<indexQuery<<".png";
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Mat query=imread(queryName.str(), IMREAD_GRAYSCALE);
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Mat queryToShow;
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resize(query, queryToShow, sz2Sh, 0, 0, INTER_LINEAR_EXACT);
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imshow("QUERY", queryToShow);
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moveWindow("TEST", 0,0);
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vector<Point> contQuery = simpleContour(query);
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int bestMatch = 0;
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float bestDis=FLT_MAX;
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for ( int ii=1; ii<=20; ii++ )
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{
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if (ii==indexQuery) continue;
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waitKey(30);
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stringstream iiname;
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iiname<<path<<ii<<".png";
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cout<<"name: "<<iiname.str()<<endl;
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Mat iiIm=imread(iiname.str(), 0);
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Mat iiToShow;
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resize(iiIm, iiToShow, sz2Sh, 0, 0, INTER_LINEAR_EXACT);
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imshow("TEST", iiToShow);
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moveWindow("TEST", sz2Sh.width+50,0);
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vector<Point> contii = simpleContour(iiIm);
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float dis = mysc->computeDistance( contQuery, contii );
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if ( dis<bestDis )
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{
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bestMatch = ii;
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bestDis = dis;
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}
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std::cout<<" distance between "<<queryName.str()<<" and "<<iiname.str()<<" is: "<<dis<<std::endl;
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}
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destroyWindow("TEST");
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stringstream bestname;
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bestname<<path<<bestMatch<<".png";
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Mat iiIm=imread(bestname.str(), 0);
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Mat bestToShow;
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resize(iiIm, bestToShow, sz2Sh, 0, 0, INTER_LINEAR_EXACT);
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imshow("BEST MATCH", bestToShow);
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moveWindow("BEST MATCH", sz2Sh.width+50,0);
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waitKey();
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return 0;
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}
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