How to find the contour of only the leg and foot parts?

Original image:

Denoised image:

Result:

Here is my code:

include "opencv2/imgproc/imgproc.hpp"

include "opencv2/highgui/highgui.hpp"

include "opencv2/opencv.hpp"

include <string>

using namespace cv; using namespace std;

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;
}

};

int main(int argc, char* argv[]) { cv::Mat image = cv::imread("C:/Proj/Denoised.jpg"); cv::Mat blank(image.size(), CV_8U, cv::Scalar(0xFF)); cv::Mat dest; imshow("originalimage", image);

// Create markers image
cv::Mat markers(image.size(), CV_8U, cv::Scalar(-1));
//Rect(topleftcornerX, topleftcornerY, width, height);
//top rectangle
markers(Rect(0, 0, image.cols, 5)) = Scalar::all(1);
//bottom rectangle
markers(Rect(0, image.rows - 5, image.cols, 5)) = Scalar::all(1);
//left rectangle
markers(Rect(0, 0, 5, image.rows)) = Scalar::all(1);
//right rectangle
markers(Rect(image.cols - 5, 0, 5, image.rows)) = Scalar::all(1);
//centre rectangle
int centreW = image.cols / 4;
int centreH = image.rows / 4;
markers(Rect((image.cols / 2) - (centreW / 2), (image.rows / 2) - (centreH / 2), centreW, centreH)) = Scalar::all(2);
markers.convertTo(markers, CV_BGR2GRAY);
imshow("markers", markers);

//Create watershed segmentation object
WatershedSegmenter segmenter;
segmenter.setMarkers(markers);
cv::Mat wshedMask = segmenter.process(image);
cv::Mat mask;
convertScaleAbs(wshedMask, mask, 1, 0);
double thresh = threshold(mask, mask, 1, 255, THRESH_BINARY);
bitwise_and(image, image, dest, mask);
dest.convertTo(dest, CV_8U);

imshow("final_result", dest);

//save img
imwrite("C:/Proj/watershed.jpg", dest);

cv::waitKey(0);

return 0;

}

How to find the contour of only the leg and foot parts?

Original image:

Denoised image:

Result:

Here is my code:

#include "opencv2/imgproc/imgproc.hpp"
#include "opencv2/highgui/highgui.hpp"

#include "opencv2/opencv.hpp"
#include <string>

using namespace cv;
using namespace std;
 
std;
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;
 }
 
};
 
};
int main(int argc, char* argv[])
{
cv::Mat image = cv::imread("C:/Proj/Denoised.jpg");
cv::Mat blank(image.size(), CV_8U, cv::Scalar(0xFF));
cv::Mat dest;
imshow("originalimage", image);
 
image);
// Create markers image
 cv::Mat markers(image.size(), CV_8U, cv::Scalar(-1));
 //Rect(topleftcornerX, topleftcornerY, width, height);
 //top rectangle
 markers(Rect(0, 0, image.cols, 5)) = Scalar::all(1);
 //bottom rectangle
 markers(Rect(0, image.rows - 5, image.cols, 5)) = Scalar::all(1);
 //left rectangle
 markers(Rect(0, 0, 5, image.rows)) = Scalar::all(1);
 //right rectangle
 markers(Rect(image.cols - 5, 0, 5, image.rows)) = Scalar::all(1);
 //centre rectangle
 int centreW = image.cols / 4;
 int centreH = image.rows / 4;
 markers(Rect((image.cols / 2) - (centreW / 2), (image.rows / 2) - (centreH / 2), centreW, centreH)) = Scalar::all(2);
 markers.convertTo(markers, CV_BGR2GRAY);
 imshow("markers", markers);
 //Create watershed segmentation object
 WatershedSegmenter segmenter;
 segmenter.setMarkers(markers);
 cv::Mat wshedMask = segmenter.process(image);
 cv::Mat mask;
 convertScaleAbs(wshedMask, mask, 1, 0);
 double thresh = threshold(mask, mask, 1, 255, THRESH_BINARY);
 bitwise_and(image, image, dest, mask);
 dest.convertTo(dest, CV_8U);
 imshow("final_result", dest);
 //save img
 imwrite("C:/Proj/watershed.jpg", dest);
 cv::waitKey(0);
 return 0;
}
  
}