#include <iostream>
using namespace std;
using namespace cv;
bool use_mask;
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./MatchTemplate_Demo <image_name> <template_name> [<mask_name>]" << endl;
return -1;
}
if(argc > 3) {
use_mask = true;
}
if(img.empty() || templ.empty() || (use_mask &&
mask.empty()))
{
cout << "Can't read one of the images" << endl;
return -1;
}
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 0;
}
void MatchingMethod( int, void* )
{
int result_cols = img.cols - templ.cols + 1;
int result_rows = img.rows - templ.rows + 1;
result.create( result_rows, result_cols,
CV_32FC1 );
if (use_mask && method_accepts_mask)
else
double minVal;
double maxVal;
Point minLoc;
Point maxLoc;
minMaxLoc( result, &minVal, &maxVal, &minLoc, &maxLoc,
Mat() );
{ 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;
}