Study on skin color image segmentation used by Fuzzy-c-means arithmetic

Skin color image segmentation is an important part in skin image analysis. Segmentation feature parameter and segmentation arithmetic significantly influence the segmentation result. In this article, we compared RGB, HSV, and Lab color spaces and found that HSV color space as segmentation feature parameter has the advantage. Furthermore, we used an improved Fuzzy-c-means arithmetic (IFCM) in skin color image segmentation and found that the new method improved the segmentation results.