这个程序使用OpenCV shape模块进行形状匹配。数据库里有20张图片可以很容易看出来每两张图片是一组匹配的形状。大概就是这个意思用第一张图片查询时会找到第二张图片。现在查询左边的第14张图片,可以看到最佳匹配(Best Match)的是右边显示的第13张图片。代码#include opencv2/shape.hpp #include opencv2/imgcodecs.hpp #include opencv2/highgui.hpp #include opencv2/imgproc.hpp #include iostream #include string static vectorPoint simpleContour( const Mat currentQuery, int n300 ) { vectorvectorPoint _contoursQuery; vector Point contoursQuery; findContours(currentQuery, _contoursQuery, RETR_LIST, CHAIN_APPROX_NONE); for (size_t border0; border_contoursQuery.size(); border) { for (size_t p0; p_contoursQuery[border].size(); p) { contoursQuery.push_back( _contoursQuery[border][p] ); } } int dummy0; for (int add(int)contoursQuery.size()-1; addn; add) { contoursQuery.push_back(contoursQuery[dummy]); } cv::randShuffle(contoursQuery); vectorPoint cont; for (int i0; in; i) { cont.push_back(contoursQuery[i]); } return cont; } int main() { int indexQuery 14; string path data/shape_sample/; cv::Ptr cv::ShapeContextDistanceExtractor mysc cv::createShapeContextDistanceExtractor(); Size sz2Sh(300,300); stringstream queryName; queryNamepathindexQuery.png; Mat queryimread(queryName.str(), IMREAD_GRAYSCALE); Mat queryToShow; resize(query, queryToShow, sz2Sh, 0, 0, INTER_LINEAR_EXACT); imshow(QUERY, queryToShow); vectorPoint contQuery simpleContour(query); int bestMatch 0; float bestDisFLT_MAX; for ( int ii1; ii20; ii ) { if (iiindexQuery) continue; stringstream iiname; iinamepathii.png; Mat iiImimread(iiname.str(), 0); Mat iiToShow; resize(iiIm, iiToShow, sz2Sh, 0, 0, INTER_LINEAR_EXACT); vectorPoint contii simpleContour(iiIm); float dis mysc-computeDistance( contQuery, contii ); if ( disbestDis ) { bestMatch ii; bestDis dis; } } stringstream bestname; bestnamepathbestMatch.png; Mat iiImimread(bestname.str(), 0); Mat bestToShow; resize(iiIm, bestToShow, sz2Sh, 0, 0, INTER_LINEAR_EXACT); imshow(BEST MATCH, bestToShow); moveWindow(BEST MATCH, sz2Sh.width50,0); waitKey(); return 0; }