opencv学习-imgprocess-模板匹配matchTemplate

发布时间:2014-10-23 23:27:25
来源:分享查询网

opencv提供模板匹配方法有6种,分别为 1. method=CV_TM_SQDIFF 2. method=CV_TM_SQDIFF_NORMED 3. method=CV_TM_CCORR 4. method=CV_TM_CCORR_NORMED 5. method=CV_TM_CCOEFF 6. method=CV_TM_CCOEFF_NORMED 其中第一第二种方法为返回值越小匹配越好,其他的是返回值越大匹配越好。 minMaxLoc函数可以获取匹配的最大最小值,以及他们的位置。 代码如下: #include "opencv2/highgui/highgui.hpp" #include "opencv2/imgproc/imgproc.hpp" #include <iostream> #include <stdio.h> using namespace std; using namespace cv; /// Global Variables Mat img; Mat templ; Mat result; char* image_window = "Source Image"; char* result_window = "Result window"; int match_method; int max_Trackbar = 5; /// Function Headers void MatchingMethod( int, void* ); /** @function main */ int main( int argc, char** argv ) { /// Load image and template img = imread("12.jpg", 1 ); templ = imread( "1.jpg", 1 ); /// Create windows namedWindow( image_window, CV_WINDOW_AUTOSIZE ); namedWindow( result_window, CV_WINDOW_AUTOSIZE ); /// Create Trackbar char* trackbar_label = "Method: \n 0: SQDIFF \n 1: SQDIFF NORMED \n 2: TM CCORR \n 3: TM CCORR NORMED \n 4: TM COEFF createTrackbar( trackbar_label, image_window, &match_method, max_Trackbar, MatchingMethod "; MatchingMethod( 0, 0 ); waitKey(0); return 0; } /** * @function MatchingMethod * @brief Trackbar callback */ void MatchingMethod( int, void* ) { /// Source image to display Mat img_display; img.copyTo( img_display ); /// Create the result matrix int result_cols = img.cols - templ.cols + 1; int result_rows = img.rows - templ.rows + 1; result.create( result_cols, result_rows, CV_32FC1 ); /// Do the Matching and Normalize matchTemplate( img, templ, result, match_method ); normalize( result, result, 0, 1, NORM_MINMAX, -1, Mat() ); /// Localizing the best match with minMaxLoc double minVal; double maxVal; Point minLoc; Point maxLoc; Point matchLoc; minMaxLoc( result, &minVal, &maxVal, &minLoc, &maxLoc, Mat() ); /// For SQDIFF and SQDIFF_NORMED, the best matches are lower values. For all the other methods, the higher the better if( match_method == CV_TM_SQDIFF || match_method == CV_TM_SQDIFF_NORMED ) { matchLoc = minLoc; } else { matchLoc = maxLoc; } /// Show me what you got rectangle( img_display, matchLoc, Point( matchLoc.x + templ.cols , matchLoc.y + templ.rows ), Scalar::all(0), 2, 8,0); rectangle( result, matchLoc, Point( matchLoc.x + templ.cols , matchLoc.y + templ.rows ), Scalar::all(0), 2, 8, 0 ); imshow( image_window, img_display ); imshow( result_window, result ); return; }

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