Earticle

초록

영어

Skin color segmentation plays an important role in the biological feature recognition system. In order to improve the system adaptability to the complex environment, a new model of Cr*a*b by combing the YCbCr with Lab model is proposed. Firstly, establish the three-dimensional coordinate system based on the Cr, a, b axes, the two-two coordinates form the directional vectors by using the origin as the starting point. Then calculate the angles between the three vectors. Finally, realize the purpose of skin color segmentation by reducing the dimensions of angle data. Experimental results show that this algorithm can improve the over sensitive of YCbCr model to red and yellow, the defect of the skin color weak clustering in the Lab model is also overcame. Even if for the image with complex background environment, the percent of average accurate detection is about 87.7%. The proposed algorithm can get the high skin color segmentation rate and has good practicability.

목차

Abstract
 1. Introduction
 2. Common Color Space and its Distribution
  2.1. RGB space
  2.2. HSV Space
  2.3. YCbCr Space
  2.4. Lab Space
 3. Improved Algorithm
 4. Experiments and Results
 5. Conclusion
 Reference

키워드

저자

• Yong qiang Chen [ School of Electrical Engineering and Electronic Information, Xihua University, Chengdu, 610039,China ]
• Changdong Wu [ School of Electrical Engineering and Electronic Information, Xihua University, Chengdu, 610039,China, School of Electrical Engineering, Southwest Jiaotong University, Chengdu,610031,China ]
• Bo Yu [ School of Electrical Engineering and Electronic Information, Xihua University, Chengdu, 610039,China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Control and Automation

• 간기

  월간

• pISSN

  2005-4297

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605