Определение количества фрагментов на изображении

#include <iostream>
#include <opencv2/highgui.hpp>
#include <opencv2/imgcodecs.hpp>
#include <opencv2/imgproc.hpp>
 
int main()
{
    try
    {
        auto image = cv::imread("pattern.jpg");
        CV_Assert(!image.empty());
        auto const subRectSize = cv::Size(33, 33);
        auto templ = cv::Mat(image, cv::Rect(cv::Point(2, 4), subRectSize));
        auto result = cv::Mat(image.rows - templ.rows + 1, image.cols - templ.cols + 1, CV_32FC1);
        cv::matchTemplate(image, templ, result, cv::TM_CCOEFF_NORMED);
        auto first = result.begin<float>();
        auto last = result.end<float>();
        for(;first != last; ++first) {
            if (*first > 0.9f) {
                cv::rectangle(image, cv::Rect(first.pos(), subRectSize), {0, 0, 255}, 2);
            }
        }
        cv::namedWindow("matching");
        cv::imshow("matching", image);
        cv::waitKey();
    }
    catch (std::exception const &err)
    {
        std::cerr << err.what() << '\n';
    }
}

#include <iostream>
#include <opencv2/highgui.hpp>
#include <opencv2/imgcodecs.hpp>
#include <opencv2/imgproc.hpp>
 
void DisplayMessage(std::string sMes)
{
  std::cout << sMes << std::endl;
  system("pause");
  exit(EXIT_SUCCESS);
}
 
int main(int argc, char** argv)
{
  if (argv[1] == NULL)
    DisplayMessage("Original image missing!");
  if (argv[2] == NULL)
    DisplayMessage("Template image missing!");
  if (argc > 3)
    DisplayMessage("There should be two parameters in the command line!");
  cv::Mat imgorig  = imread(argv[1], cv::IMREAD_UNCHANGED);
  cv::Mat imgtempl = imread(argv[2], cv::IMREAD_UNCHANGED);
  cv::Mat result = cv::Mat(imgorig.rows - imgtempl.rows + 1, imgorig.cols - imgtempl.cols + 1, CV_32FC1);
  cv::matchTemplate(imgorig, imgtempl, result, cv::TM_CCOEFF_NORMED);
  cv::namedWindow("Result", cv::WINDOW_NORMAL);
  cv::imshow("Result", result);
  cv::imwrite("Result.jpg", result);
  auto first = result.begin<float>();
  auto last = result.end<float>();
  cv::waitKey(0);
  int i = 0;
  for (; first != last; ++first)
  {
   if (*first > 0.9f)
    {
      i++;
    }
  }
}

//...
cv::matchTemplate(imgorig, imgtempl, result, cv::TM_SQDIFF_NORMED);
cv::threshold(result, result, 0.9, 1.0, cv::THRESH_BINARY_INV);
result.convertTo(result, CV_8UC1, 255);
std::vector<std::vector<cv::Point>> contours;
cv::findContours(result, contours, cv::RETR_EXTERNAL, cv::CHAIN_APPROX_SIMPLE);
std::cout << contours.size() << '\n';
//...