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I would do a simple threshold on the image. Then use cv::findContours() an choose the correct contours with cv::contourArea(). After that you can cut out the region with creating a rectangle around it (cv::boundingRect) and copy the specific part to a new cv::Mat.

Perhabs you have to dilate the image before, if the small bright regions are not seperated from the large ones by cv::findContours(). Also you can make the size of the bounding rectangle a bit larger if you want.

I would do a simple threshold on the image. Then use cv::findContours() an choose the correct contours with cv::contourArea(cv::contourArea()). . After that you can cut out the region with creating a rectangle around it (cv::boundingRectcv::boundingRect()) and copy the specific part to a new cv::Mat.

Perhabs you have to dilate the image before, if the small bright regions are not seperated from the large ones by cv::findContours(). Also you can make the size of the bounding rectangle a bit larger if you want.

I would do a simple threshold on the image. Then use cv::findContours() an choose the correct contours with cv::contourArea(). cv::contourArea(). After that you can cut out the region with creating a rectangle around it (cv::boundingRect()cv::boundingRect) and copy the specific part to a new cv::Mat.

Perhabs you have to dilate the image before, if the small bright regions are not seperated from the large ones by cv::findContours(). Also you can make the size of the bounding rectangle a bit larger if you want.

#include "opencv2/highgui/highgui.hpp"
#include "opencv2/imgproc/imgproc.hpp"
#include <iostream>

using namespace cv;
using namespace std;

int main( int, char** argv )
{
  /// Load source image
  Mat src = imread(argv[1]);
  if (src.empty())
  {
    cerr << "No image supplied ..." << endl;
    return -1;
  }

  /// Convert image to gray
  Mat src_gray;
  cvtColor( src, src_gray, COLOR_BGR2GRAY );
  threshold( src_gray, src_gray, 250, 255, THRESH_BINARY );
  //erode( src_gray, src_gray, Mat());

  /// Find contours
  vector<vector<Point> > contours;
  findContours( src_gray, contours, RETR_TREE, CHAIN_APPROX_SIMPLE );

  /// Draw contours
  for( size_t i = 0; i< contours.size(); i++ )
     {
       Scalar color = Scalar( 0, 0, 255 );
       Rect _boundingRect = boundingRect( contours[i] );
       if( _boundingRect.height < 50 )
       drawContours( src, contours, (int)i, color, 2 );
     }

  /// Show in a window
  imshow( "Contours", src );
  waitKey(0);
  return(0);
}