Fusion of Multi Color Space for Human Skin Region Segmentation
This paper proposes a technique to extract human skin color regions from the color images based on combination of both YCbCr and YUV color spaces. Since skin pixels can vary with ambient light, to find the range of values for which most skin pixels fall in the skin color space becomes a hard task. Therefore, other four techniques based on RGB, i.e., normalized rg, HSV, YCbCr, YUV-YIQ, color space are presented and compared in this paper in order to pick the appropriate control limits for the purpose of skin color segmentation. From the experimental results, the skin detection results obtained by the proposed technique are found to be more appropriate compared to the five color spaces.
Skin color detection color spaces control limits
Fan Hai Xiang Shahrel Azmin Suandi
Intelligent Biometric Group, School of Electrical and Electronic Engineering,Universiti Sains Malaysia Nibong Tebal, Pulau Pinang, Malaysia
国际会议
成都
英文
539-542
2010-12-17(万方平台首次上网日期,不代表论文的发表时间)