Image processing

MR1827

Binarization with the Otsu method (implementation from scratch - do not call the matlab function) (2 point)
Binarization with Sauvola (1 point)
Binarization with Niblack (1 point)
Using the k-means algorithm, create images with k different colors ( k different shades of gray) (2 point)
- Using as features for each point: a neighborhood of size w x w (all the neighborhood is used) (1 point)
- Using as features for each point: the mean and standard deviation of a neighborhood of size w x w (1 point)
Normalize the images so the image is a square (number of columns = number of rows), with the default background being black, and the gravity center of the image is placed in the middle of the image (1 point)
Filter the images with Gabor filters by

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