Earticle

초록

영어

Skin detection is an essential step for important vision tasks such as the detection, tracking and recognition of face, segmentation of hand for gesture analysis, and person identification. Using skin color as a feature commonly raises problem related to the varying of lighting conditions due to the complex illuminated environment in the real world. Due to this problem, many researchers describe the lighting compensation algorithm as the best solution for such a problem that is indispensable for robust skin-tone color detection. This paper presents a study on the effect of light compensation on a skin color detection model which is based on the 2-dimensional normal distribution of the skin chromatic. A number of images captured in indoor and outdoor environments are used for the experiments to prove the effect of the studied algorithm. The findings show that the lighting compensation technique gives no significant effect on the performance of parametric skin detector model and therefore this problem demands for more research work.

목차

Abstract
 1. Introduction
 2. Lighting Compensation Method
 3. The Skin Color Modeling
 4. Performance Analysis and Experimental Results
 5. Conclusions
 References

키워드

저자

• Ahmed M. Mharib [ Department of Computer and Communication System Engineering, Faculty of Engineering, Universiti Putra Malaysia ]
• Syamsiah Mashohor [ Department of Computer and Communication System Engineering, Faculty of Engineering, Universiti Putra Malaysia ]
• Abdul Rahman Ramli [ Department of Computer and Communication System Engineering, Faculty of Engineering, Universiti Putra Malaysia ]
• Mohammad Hamiruce Marhaban [ Department of Electrical and Electronic Engineering, Faculty of Engineering, Universiti Putra Malaysia ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Signal Processing, Image Processing and Pattern Recognition

• 간기

  격월간

• pISSN

  2005-4254

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605