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Please any help to segment this image using clor filter.

Please any help to segment this image using clor filter.

Please any help to segment this image using clor filter.

int main() {    Mat large = imread("result.png");    Mat rgb;    // downsample and use it for processing    pyrDown(large, rgb);    Mat small;    cvtColor(rgb, small, CV_BGR2GRAY);    // morphological gradient    Mat grad;    Mat morphKernel = getStructuringElement(MORPH_ELLIPSE,    Size(3, 3));    morphologyEx(small, grad, MORPH_GRADIENT, morphKernel);    // binarize    Mat bw;    threshold(grad, bw, 0.0, 255.0, THRESH_BINARY | THRESH_OTSU);    // connect horizontally oriented regions    Mat connected;    morphKernel = getStructuringElement(MORPH_RECT,    Size(9, 1));    morphologyEx(bw, connected, MORPH_CLOSE, morphKernel);    // find contours    Mat mask = Mat::zeros(bw.size(), CV_8UC1);    vector<vector<Point>> contours;    vector<Vec4i> hierarchy;    findContours(connected, contours, hierarchy, CV_RETR_CCOMP,    CV_CHAIN_APPROX_SIMPLE, Point(0, 0));    // filter contours    for(int idx = 0; idx >= 0; idx = hierarchy[idx][0])    {
       Rect rect = boundingRect(contours[idx]);
       Mat maskROI(mask, rect);
       maskROI = Scalar(0, 0, 0);
       // fill the contour
       drawContours(mask, contours, idx, Scalar(255, 255, 255),    CV_FILLED);
       // ratio of non-zero pixels in the filled region
       double r = (double)countNonZero(maskROI)/(rect.width*rect.height);

       if (r > .45 /* assume at least 45% of the area is filled if it    contains text */
           && 
           (rect.height > 8 && rect.width > 8) /* constraints on    region size */
           /* these two conditions alone are not very robust. better to    use something 
           like the number of significant peaks in a horizontal    projection as a third condition */
           )
       {
           rectangle(rgb, rect, Scalar(0, 255, 0), 2);
       }    }    imwrite(OUTPUT_FOLDER_PATH + string("rgb.jpg"), rgb);
    imshow("a", rgb); waitKey();    return 0; }

Please any help to segment this image using clor filter.

int main() {     Mat large = imread("result.png"); imread("result.png");

    Mat rgb;    // downsample and use it for processing    pyrDown(large, rgb);     Mat small;     cvtColor(rgb, small, CV_BGR2GRAY);    // morphological gradient    Mat grad; 

   Mat grad;

    Mat morphKernel = getStructuringElement(MORPH_ELLIPSE,    Size(3, 3));     morphologyEx(small, grad, MORPH_GRADIENT, morphKernel);     // binarize     Mat bw;    threshold(grad, bw, 0.0, 255.0, THRESH_BINARY | THRESH_OTSU);     // connect horizontally oriented regions     Mat connected;     morphKernel = getStructuringElement(MORPH_RECT,    Size(9, 1));     morphologyEx(bw, connected, MORPH_CLOSE, morphKernel);     // find contours    Mat mask = Mat::zeros(bw.size(), CV_8UC1);     vector<vector<Point>> contours;    vector<Vec4i> hierarchy;     findContours(connected, contours, hierarchy, CV_RETR_CCOMP,    CV_CHAIN_APPROX_SIMPLE, Point(0, 0));    0));

// filter contours    for(int idx = 0; idx >= 0; idx = hierarchy[idx][0])    {
       Rect rect = boundingRect(contours[idx]);
       Mat maskROI(mask, rect);
       maskROI = Scalar(0, 0, 0);
       // fill the contour
       drawContours(mask, contours, idx, Scalar(255, 255, 255),    CV_FILLED);
       // ratio of non-zero pixels in the filled region
       double r = (double)countNonZero(maskROI)/(rect.width*rect.height);

       if (r > .45 /* assume at least 45% of the area is filled if it    contains text */
           && 
           (rect.height > 8 && rect.width > 8) /* constraints on    region size */
           /* these two conditions alone are not very robust. better to    use something 
           like the number of significant peaks in a horizontal    projection as a third condition */
           )
       {
           rectangle(rgb, rect, Scalar(0, 255, 0), 2);
       }    }    imwrite(OUTPUT_FOLDER_PATH + string("rgb.jpg"), rgb);
    imshow("a", rgb); waitKey();    return 0; }