Fusion of Multi Color Space for Human Skin Region Segmentation

摘要：

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.

关键词： Skin color detection color spaces control limits

作者: Fan Hai Xiang Shahrel Azmin Suandi

作者单位: Intelligent Biometric Group, School of Electrical and Electronic Engineering,Universiti Sains Malaysia Nibong Tebal, Pulau Pinang, Malaysia

会议类型: 国际会议

会议名称: 2010 International Conference on Information Security and Artificial Intelligence(2010年信息安全与人工智能国际会议 ISAI 2010)

会议地点: 成都

会议语种:英文

页码: 539-542

在线出版日期: 2010-12-17（万方平台首次上网日期，不代表论文的发表时间）