Bag-of-visual-words A pre-programmed vocabulary of “visual words” is trained into the system - they’re something like characteristic shapes, patches of color, etc.
- and then the system evaluates the frequency with which these visual words show up.
“Simple features including the average skin probability, the ratio of skin pixels, and the size of the largest skin region are used for classification,” says Jansohn et al.
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