Perceptual Color Clustering for Image Segmentation

Proposes an image segmentation algorithm based on perceptual color clustering. Introduces the color space transformation formulae from (RGB) to (HLC) and the NBS color distance. On this basis, color images are quantized to 256 colors or fewer without significantly degrading the color quality and the similar colors are classified based on NBS color distance. Color patterns are finally merged, deleting minor color regions. Experimental results for some color images are given.