Research on a Skin Color Detection Algorithm Based on Self-adaptive Skin Color Model

Author(s):  
Guoliang Yang ◽  
Huan Li ◽  
Li Zhang ◽  
Yue Cao
2013 ◽  
Vol 756-759 ◽  
pp. 3517-3521
Author(s):  
Xue Feng Dong

The main objective of designing skin color model is to determine whether the pixel is skin color pixels and generate the skin color mask images. The paper discusses the choise of color space and skin color model designing in skin color detection system, analysis the problems often needed to solve in it and put forward an improved skin color detection algorithm model based on ellipse boundary. The skin color detection experiment is completed. The result of experiment shows the skin color detection algorithm model is good.


2014 ◽  
Vol 543-547 ◽  
pp. 2702-2705
Author(s):  
Hong Hai Liu ◽  
Xiang Hua Hou

In face image with complex background, the CbCr skin color region will have offset when considering the illumination change. Therefore, the non-skin color pixels which luminance is less than 80 will be mistaken as skin color pixels and the skin color pixels which luminance is greater than 230 will be mistaken as non-skin color pixels. In order to reduce the misjudgments, an improved skin color model of nonlinear piecewise is put forward in this paper. Firstly, the skin color model of non-piecewise is analyzed and the experimental results show that by this model there is an obvious misjudgment in face detection. Then the skin color model of nonlinear piecewise is mainly analyzed and is demonstrated by mathematics method. A large number of training results show that the skin color model of nonlinear piecewise has better clustering distribution than the skin color model of non-piecewise. At lastly, the face detection algorithm adopting skin color model of nonlinear piecewise is analyzed. The results show that this algorithm is better than the algorithm adopting skin color model of non-piecewise and it makes a good foundation for the application of face image.


2012 ◽  
Vol 38 (3) ◽  
pp. 629-635 ◽  
Author(s):  
Zhen-Xue Chen ◽  
Cheng-Yun Liu ◽  
Fa-Liang Chang ◽  
Xu-Zhen Han

CAUCHY ◽  
2011 ◽  
Vol 1 (4) ◽  
pp. 207 ◽  
Author(s):  
Yusron Rijal ◽  
Awalia Nofitasari

This paper presents an effort to detect pornographic webpages. It was stated that a positive relationship exists between percentage of human skin color in an image and the image itself (Jones et.al., 1998). Based on the statement, rather than using the traditional method of text-filtering, this paper propose a new approach to detect pornographic images by using skin color detection. The skin color detection performed by using RGB, HSI, and YCbCr color model. Using algorithm stated by Ap-apid (Ap-apid, 2005), the system will classify nude and not-nude images. If one or more nude images are found, the system will block the webpage. Keywords: Webpage Filtering, Image Processing, Pornography, Nudity, Skin Color, Nude Images


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