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Hi, I am trying to create a gaussian kernel and then normalize it so I can display it because the values are all too small like to the power of negative something. i used the normalize function but im still getting a black screen. the minimum is supposed to be 0 and the max 255 and everything else is scale in between. my code is below. help thanks.

 int main() {

    Mat kernelX  = getGaussianKernel(49, 13);
    Mat kernelY  = getGaussianKernel(49, 13);
    Mat kernelXY = kernelX * kernelY.t();

    normalize(kernelXY, kernelXY, 0, 255);

    namedWindow("l", CV_WINDOW_NORMAL);
    imshow("l", kernelXY);
    waitKey(0);
}

Hi, I am trying to create a gaussian kernel and then normalize it so I can display it because the values are all too small like to the power of negative something. i used the normalize function but im still getting a black screen. the minimum is supposed to be 0 and the max 255 and everything else is scale in between. my code is below. help thanks.

 int main() {

    Mat kernelX  = getGaussianKernel(49, 13);
    Mat kernelY  = getGaussianKernel(49, 13);
    Mat kernelXY = kernelX * kernelY.t();

    normalize(kernelXY, kernelXY, 0, 255);

    namedWindow("l", CV_WINDOW_NORMAL);
    imshow("l", kernelXY);
    waitKey(0);
}

gaussian = fspecial('gaussian', [49 49], 13);
colormap gray
imagesc(gaussian);