- Morphological operations: https://in.mathworks.com/help/images/morphological-filtering.html
- Structuring Elements: https://in.mathworks.com/help/images/structuring-elements.html
Binarizing image with single pixels
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I have some photos of random pixels marked on a low noisy background. I want to binarize the image, in order to have a clear array of 0s and 1s, and I would like to make each spot as one element of the matrix.
What I did was to grayscale the image, and then try to binarize it. Unfortunately, it is not enough. Adding Adaptive histeresys equalisation (Ae = adapthisteq(Ag);) makes it worst. Maybe strel function could help?
Thanks
This is my code. I think code will be similar to datamatrix and QR code reading.
Thank you
if dim ~= 1
Ag = rgb2gray(photo);
else
Ag = photo;
end
Ab=imbinarize(Ag);
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Answers (1)
Animesh
on 30 Jan 2024
Hi @Mat
If you're working with an image that has random pixels against a faintly noisy background and wish to detect those random pixels, you can employ morphological operations to enhance the features of the spots and distinguish them from the background noise.
A suggested approach you can try is:
Step 1: Convert the image to greyscale (if not already).
Step 2: Apply a filter to reduce noise.
Step 3: Binarize the image using thresholding.
Step 4: Use morphological operations to clean up the image and isolate the spots.
You can refer to the following documentation on morphological operations:
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