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Feature Vector from GLCM
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I've been working on a cell pattern recognition project.
I've received dataset that have been manually segmented, and I've converted it to greyscale. From there, I've extracted 4 features from GLCM (contrast, correlation, homogeneity and energy) and 3 other features - mean, std deviation and entropy. I've taken 4 diff angles for GLCM and taking the avg to make it rotation invariant. I've attached the code I've written so far.
For the feature vector, I am not sure if I've done it correctly. I've compiled the values obtained in excel, compute the avg value for each features according to pattern and from there, create a feature vector. Is this the right step?
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