Earticle

초록

영어

To the problem of face detection in color images, a novel method is proposed based on skin color segmentation and geometry features. Firstly, some common color models are analyzed, and a large amount of skin images are used to establish an YCbCr color model for region segmentation. Then, the morphological processing is executed on the binary image, and the facial regions filtering is conducted by adopting some geometry constraints such as Euler number, the ratio of width and height, centroid. Finally, the face region is located and labeled with a rectangle. Experimental results showed that the proposed method can equilibrate the unbalance between good accuracy and real-time performance to some extent, and is effective in face location.

목차

Abstract
 1. Introduction
 2. Color Space Theory
 3. Establishment of Skin Color Model
 4. Morphological Processing and Regions Screening
  4.1. Morphological Processing
  4.2. Regions Screening
 5. Analysis of the Experimental Results
 6. Conclusion
 Acknowledgements
 References

키워드

저자

• Wen-cheng Wang [ Department of Information and Control, Weifang University, Weifang 261061, China ]

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