Pixel-based algorithms classify individual pixels according to their resemblance to a specific pattern. Region-based algorithms use regions from segmented images, and classify each region to a specific pattern.
Supervised methods uses a predefined typology, given by the user, who supplies samples of each pattern. Unsupervised methods detect an unknown number of patterns, according to their own method.
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