How can i normalize a greyscale image?
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Gn Gnk
el 20 de Nov. de 2020
Comentada: Saud Alfalasi
el 21 de Nov. de 2020
Hello ,
I've seen many similar questions but i am still confused . I have a grayscale image and i want to normalize it.How can i do that ? I have seen that grey2mat() does the job but i am not sure .
Thank you.
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Image Analyst
el 20 de Nov. de 2020
What's your definition of normalize? You can use mat2gray(), rescale(), or simply divide by the actual max and multiply by the desired max. It just depends on how you define it. What's your definition? How do you plan on using it?
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Image Analyst
el 21 de Nov. de 2020
Editada: Image Analyst
el 21 de Nov. de 2020
The second step is not necessary. Not sure why they wanted you to do it. Otsu's method can work with the original range. Rescaling the image does nothing to help it. It just finds the threshold at a different (higher) threshold than it would have with the original, unscaled image. But anyway, you can scale it like this:
imshow(topHatImage, []);
normalizedImage = mat2gray(topHatImage); % Rescale to 0-1 range.
imshow(normalizedImage, []); % Will look the same since I used [].
threshold = graythresh(normalizedImage)
mask = imbinarize(normalizedImage, threshold); % Apply Otsu method.
imshow(mask); % Display thresholded image.
Saud Alfalasi
el 21 de Nov. de 2020
Hi Image Analyst
May you please look at my questions
https://uk.mathworks.com/matlabcentral/answers/656073-split-rgb-image-into-blocks-24-bit?s_tid=srchtitle
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