delaila's profile - activity

thank you very much for your answer @theodore. :) I got the result like what you did after I added threshold at the 'last result'. But, the result still same as before. I think there are something wrong at for loops coding. I try to change j++ with j-- (same with i) , but the result shows completely white. I don't know how to solve it.

Okay..I have already upload the original image.. :)

)I try this coding and I got the result..I want the object and wall to be black while the floor which is the path that can be taken by the robot is in white..But, the result that I have obtained is different from what I expected (object and floor are black; wall is white)..can anyone help me?..any suggestion?

the original image : C:\fakepath\box_1.jpg

This is the result that I got..

after edge detection :

last result :

    Mat img_bw;
    threshold(grad, img_bw, 128, 255, CV_THRESH_BINARY);

    // Loop through the border pixels and if they're black, floodFill from there
    cv::Mat mask;
    img_bw.copyTo(mask);

    for (int j = 0; j < mask.rows; j++)
    {

        for (int i = 0; i < mask.cols ; i++)
        {
            if (mask.at<char>(i,j) == 0)
            {
                cv::floodFill(mask, cv::Point(i, j), 255, 0, 10, 10);
            }
            else
            {
                break;
            }
        }
    }

    // Compare mask with original.
    cv::Mat newImage;
    img_bw.copyTo(newImage);
    for (int row = 0; row < mask.rows; ++row) {

        for (int col = 0; col < mask.cols; ++col) {
            if (mask.at<char>(row, col) == 0) {
                newImage.at<char>(row, col) = 255;
            }
        }
    }
    Mat img_bw1;
    threshold(newImage, img_bw1, 128, 255, CV_THRESH_BINARY_INV);