Research Article
Mining Regional Co-Occurrence Patterns for Image Classification
Algorithm 1
Global Color Cooccurrence Vector.
Input: (a) Input image | (b) Parameters of superpixel | (c) Color vocabulary | Output: GCCV Vector | (1) generate superpixels | | (2) according to the color vocabulary , assigning color value for every superpixel . | (3) for | (1) | (2) accumulate the number of supper-pixel with color . | | (3) | (4) | | (5) according to the formula (3) compute the value | | and | end | (4) for | | end | return |
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