// Usage: ./app input.jpg
 
include "opencv2/opencv.hpp"
 
include <string>
 
input.jpg
#include "opencv2/opencv.hpp"
#include <string>
using namespace cv;
using namespace std;
int thresh = 100;
int max_thresh = 255;
RNG rng(12345);
cv::Mat result;
 
result;
class WatershedSegmenter{
private:
cv::Mat markers;
public:
void setMarkers(cv::Mat& markerImage)
{
markerImage.convertTo(markers, CV_32S);
}
 
}
cv::Mat process(cv::Mat &image)
 {
  cv::watershed(image, markers);
 markers.convertTo(markers,CV_8U);
  return markers;
 }
 cv::Mat smther(cv::Mat &rfd)
 
{
 
{
medianBlur( rfd, rfd, 9);
 
}
 
9);
}
cv::Mat thresh_callback(cv::Mat &dst)
{
Mat canny_output;
vector<vector<point> vector<vector<Point> > contours;
vector<vec4i> hierarchy;
 
vector<Vec4i> hierarchy;
/// Detect edges using canny
Canny( result, canny_output, thresh, thresh*2, 3 );
/// Find contours
findContours( canny_output, contours, hierarchy, CV_RETR_TREE, CV_CHAIN_APPROX_SIMPLE, Point(0, 0) );
 
);
/// Draw contours
Mat drawing = Mat::zeros( canny_output.size(), CV_8UC3 );
for( int i = 0; i< contours.size(); i++ )
{
Scalar color = Scalar( rng.uniform(0, 255), rng.uniform(0,255), rng.uniform(0,255) );
drawContours( drawing, contours, i, color, 2, 8, hierarchy, 0, Point() );
}
 
}
/// Show in a window
namedWindow( "Contours", CV_WINDOW_AUTOSIZE );
imshow( "Contours", drawing );
}
};
 
};
int main(int argc, char* argv[])
{
cv::Mat image = cv::imread(argv[1]);
cv::Mat binary;// = cv::imread(argv[2], 0);
cv::cvtColor(image, binary, CV_BGR2GRAY);
cv::threshold(binary, binary, 100, 255, THRESH_BINARY);
 
THRESH_BINARY);
imshow("originalimage", image);
 imshow("originalbinary", binary);
 // Eliminate noise and smaller objects
 cv::Mat fg;
 cv::erode(binary,fg,cv::Mat(),cv::Point(-1,-1),2);
 imshow("fg", fg);
 // Identify image pixels without objects
 cv::Mat bg;
 cv::dilate(binary,bg,cv::Mat(),cv::Point(-1,-1),3);
 cv::threshold(bg,bg,1, 128,cv::THRESH_BINARY_INV);
 imshow("bg", bg);
 // Create markers image
 cv::Mat markers(binary.size(),CV_8U,cv::Scalar(0));
 markers= fg+bg;
 imshow("markers", markers);
 // Create watershed segmentation object
 WatershedSegmenter segmenter;
 segmenter.setMarkers(markers);
 cv::Mat result = segmenter.process(image);
 result.convertTo(result,CV_8U);
 cv::Mat final=segmenter.smther(result);
cv::Mat endres= segmenter.thresh_callback(final);
imshow("final_result", endres);
cv::waitKey(0);
return 0;
}
 
cv::Mat final=segmenter.smther(result);
cv::Mat endres= segmenter.thresh_callback(final);
 
imshow("final_result", endres);

cv::waitKey(0);

return 0;
 
}
when i am using this code it is compiling all right but when i run it, it gives following error.
init done
opengl support available
OpenCV Error: Bad flag (parameter or structure field) (Unrecognized or unsupported array type) in cvGetMat, file /home/disha/OpenCV-2.4.1/modules/core/src/array.cpp, line 2482
terminate called after throwing an instance of 'cv::Exception'
what(): /home/disha/OpenCV-2.4.1/modules/core/src/array.cpp:2482: error: (-206) Unrecognized or unsupported array type in function cvGetMat
 
Aborted (core dumped)
can anybody solve my problem?.Basically i am having problem in using the function smther. thanks and regards.