opencv/samples/cpp/mask_tmpl.cpp
2023-01-16 23:29:50 +03:00

75 lines
2.1 KiB
C++

#include "opencv2/imgproc.hpp"
#include "opencv2/highgui.hpp"
#include <iostream>
using namespace std;
using namespace cv;
int main( int argc, const char** argv )
{
CommandLineParser parser(argc, argv,
"{ i | lena_tmpl.jpg |image name }"
"{ t | tmpl.png |template name }"
"{ m | mask.png |mask name }"
"{ cm| 3 |comparison method }");
cout << "This program demonstrates the use of template matching with mask." << endl
<< endl
<< "Available methods: https://docs.opencv.org/4.x/df/dfb/group__imgproc__object.html#ga3a7850640f1fe1f58fe91a2d7583695d" << endl
<< " TM_SQDIFF = " << (int)TM_SQDIFF << endl
<< " TM_SQDIFF_NORMED = " << (int)TM_SQDIFF_NORMED << endl
<< " TM_CCORR = " << (int)TM_CCORR << endl
<< " TM_CCORR_NORMED = " << (int)TM_CCORR_NORMED << endl
<< " TM_CCOEFF = " << (int)TM_CCOEFF << endl
<< " TM_CCOEFF_NORMED = " << (int)TM_CCOEFF_NORMED << endl
<< endl;
parser.printMessage();
string filename = samples::findFile(parser.get<string>("i"));
string tmplname = samples::findFile(parser.get<string>("t"));
string maskname = samples::findFile(parser.get<string>("m"));
Mat img = imread(filename);
Mat tmpl = imread(tmplname);
Mat mask = imread(maskname);
Mat res;
if(img.empty())
{
cout << "can not open " << filename << endl;
return -1;
}
if(tmpl.empty())
{
cout << "can not open " << tmplname << endl;
return -1;
}
if(mask.empty())
{
cout << "can not open " << maskname << endl;
return -1;
}
int method = parser.get<int>("cm"); // default 3 (cv::TM_CCORR_NORMED)
matchTemplate(img, tmpl, res, method, mask);
double minVal, maxVal;
Point minLoc, maxLoc;
Rect rect;
minMaxLoc(res, &minVal, &maxVal, &minLoc, &maxLoc);
if(method == TM_SQDIFF || method == TM_SQDIFF_NORMED)
rect = Rect(minLoc, tmpl.size());
else
rect = Rect(maxLoc, tmpl.size());
rectangle(img, rect, Scalar(0, 255, 0), 2);
imshow("detected template", img);
waitKey();
return 0;
}