Question
Hello, I have been able to extract the pixel values of the grayscale image using regionprops (I think). I did so by using this code img = rgb2gray(imread('W1\Writer1_01_02.jpg')); bw_normal = im2bw(img, graythresh(img)); bw = imcomplement(bw_normal); [label,n] = bwlabel(bw); stats = regionprops(label, img, {'Area', 'BoundingBox', 'PixelValues'}); Now I want to extract or see visually the values extracted. I mean with the case of "stats.Area" I can do this to extract its values to another vector areas = [stats.Area] But this does not work with PixelValues. If I do the same with PixelValues I am presented with the following error: >> test = [stats.PixelValues] Error using horzcat CAT arguments dimensions are not consistent. Basically what I am trying to do is to visually plot the pixel values, as in plot a histogram of not the entire image but the PixelValues of the connected components. This was done using C#. I want to produce something like this. In the image below the pixel values of the connected components is detected and then plotted onto the image. Is this possible? (The red dots are the detected pixel values) Thank you
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Expert Answer
Prashant Kumar
PhD Expert
Answered Aug 12, 2026
You can do that by using imshow on the binary image:
imshow(bw);
If you want to mask it to show the original pixels in grayscale, then you can do that
maskedIMage = img; % Initialize maskedImage(~bw) = 0; % Non-selected pixels set to zero. imshow(maskedImage); % Display.
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