Earticle

초록

영어

This paper describes a new algorithm for pixel-based skin color detection to differentiate human form in color images by the ratio of R to H. In order to detect skin color efficiently, we examine the distribution of the R, G and B color elements combining to constitute the skin color in various color images. It shows that R is located in a narrower area than G and B on the RGB color space. And skin color is more related to R than G and B. Meanwhile, when the color image is transformed to the HSI color space, the S is variously changed in accordance with skin colors. The I is changed in accordance with the quantity and angle of light. But the H is less influenced by other conditions except for color. On the basis of the aforementioned study, we propose that the threshold for skin color detection is decided by the ratio of R to H. The proposed method narrows down the range of threshold, detects more skin color and reduces mis-detection of skin color in comparison to detection by R or H. In experimentation, it shows that the proposed algorithm overcomes changes of brightness and color to detect skin color in color images.

목차

Abstract
 1. 서론
 2. 피부색 검출
  2.1 피부색의 RGB분포
  2.2 피부색과 HSI 컬러 공간
  2.3 HR비에 의한 피부색 검출
 3. 실험 및 고찰
 4. 결론
 참고문헌

키워드

저자

• 이병선 [ Byung Sun Lee | 한밭대학교 정보통신전문대학원 박사과정 ]
• 이은주 [ Eun Joo Rhee | 한밭대학교 정보통신전문대학원 교수 ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  JITAM [Journal of Information Technology Applications and Management]

• 간기

  격월간

• pISSN

  1598-6284

• eISSN

  2508-1209

• 수록기간

  1999~2026

• 십진분류

  KDC 005 DDC 005