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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.. C:\fakepath\Image.PNG

    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);

I )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.. C:\fakepath\Image.PNG

    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);

)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 [C:\fakepath\box_1.jpg] ![image description](/upfiles/1425435702793171.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);

)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] ![image description](/upfiles/1425435702793171.jpg

this This is the result that I got.. 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);

)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] ![image description](/upfiles/1425435702793171.jpgC:\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);