samples/cpp/tutorial_code/Histograms_Matching/MatchTemplate_Demo.cpp


An example using Template Matching algorithm

#include <iostream>
using namespace std ;
using namespace cv ;
bool use_mask;
Mat img; Mat templ; Mat mask ; Mat result;
const char * image_window = "Source Image" ;
const char * result_window = "Result window" ;
int match_method;
int max_Trackbar = 5;
void MatchingMethod( int , void * );
int main( int argc, char ** argv )
{
if (argc < 3)
{
cout << "Not enough parameters" << endl;
cout << "Usage:\n" << argv[0] << " <image_name> <template_name> [<mask_name>]" << endl;
return -1;
}
img = imread ( argv[1], IMREAD_COLOR );
templ = imread ( argv[2], IMREAD_COLOR );
if (argc > 3) {
use_mask = true ;
mask = imread ( argv[3], IMREAD_COLOR );
}
if (img. empty () || templ. empty () || (use_mask && mask. empty ()))
{
cout << "Can't read one of the images" << endl;
return EXIT_FAILURE;
}
const char * trackbar_label = "Method: \n 0: SQDIFF \n 1: SQDIFF NORMED \n 2: TM CCORR \n 3: TM CCORR NORMED \n 4: TM COEFF \n 5: TM COEFF NORMED" ;
createTrackbar ( trackbar_label, image_window, &match_method, max_Trackbar, MatchingMethod );
MatchingMethod( 0, 0 );
return EXIT_SUCCESS;
}
void MatchingMethod( int , void * )
{
Mat img_display;
img. copyTo ( img_display );
int result_cols = img. cols - templ. cols + 1;
int result_rows = img. rows - templ. rows + 1;
结果。 create ( result_rows, result_cols, CV_32FC1 );
bool method_accepts_mask = ( TM_SQDIFF == match_method || match_method == TM_CCORR_NORMED );
if (use_mask && method_accepts_mask)
{ matchTemplate ( img, templ, result, match_method, mask); }
else
{ matchTemplate ( img, templ, result, match_method); }
normalize ( result, result, 0, 1, NORM_MINMAX , -1, Mat () );
double minVal; double maxVal; Point minLoc; Point maxLoc;
Point matchLoc;
minMaxLoc ( result, &minVal, &maxVal, &minLoc, &maxLoc, Mat () );
if ( match_method == TM_SQDIFF || match_method == TM_SQDIFF_NORMED )
{ matchLoc = minLoc; }
else
{ matchLoc = maxLoc; }
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 ;
}