Skin Detection Using Color Distance Measurement And Thresholding

Segmentation is a process to extract the objects
in an image. In this study, segmentation process is used to
perform skin detection which aims to detect skin pixels and areas
in an image. Pixel-based measures is used in the similarity
measurement model in image area segmentation to detect skin
and non-skin areas in 3 color spaces i.e. RGB with Euclidean
distance, HSV with Dcyl distance, HCL with DHCL distance and
the thresholding value as the limit of the similarity between two
colors. The results of this study indicate that color space
segmentation process using thresholding value (Th ≦ 80 and Th
≦ 100) for HSV and HCL provide superior segmentations.
Keywords: Segmentation; RGB; HSV; HCL; Threshold;
Euclidean Distance; Dcyl distance; DHCL distance