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    <p>There's a couple of things that should be mentioned about your code:</p> <ul> <li>Watershed expects the input and the output image to have the same size;</li> <li>You probably want to get rid of the <code>const</code> parameters in the methods;</li> <li>Notice that the result of watershed is actually <code>markers</code> and not <code>image</code> as your code suggests; About that, you need to grab the return of <code>process()</code>!</li> </ul> <p>This is your code, with the fixes above:</p> <pre><code>// Usage: ./app input.jpg #include "opencv2/opencv.hpp" #include &lt;string&gt; using namespace cv; using namespace std; class WatershedSegmenter{ private: cv::Mat markers; public: void setMarkers(cv::Mat&amp; markerImage) { markerImage.convertTo(markers, CV_32S); } cv::Mat process(cv::Mat &amp;image) { cv::watershed(image, markers); markers.convertTo(markers,CV_8U); return markers; } }; 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); 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); imshow("final_result", result); cv::waitKey(0); return 0; } </code></pre> <p>I took the liberty of using Abid's input image for testing and this is what I got:</p> <p><img src="https://i.stack.imgur.com/j9AHh.png" alt="enter image description here"></p>
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    1. COcool!it works!the size of original image and binary image should be the same. Thx!
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