Skin Detection Technology Research And Application

Skin Detection Technology (Skin Detection) means select pixels from the image correspond to human skin. With the development and application of Internet and the digital image processing technology in recent years,the research of how to identify and segment the skin region from digital image has become very active,and has made some achievements.But still exist some problems.Skin detection technology is widely used in face detection and recognition,facial expression recognition,gesture recognition,filtering pornographic images of Internet,content-based image retrieval, and so on. It has significant theoretical study and practical application value.From the point of classification, skin detection and identification technology is a binary classification issues, it means a kind of method of mark up skin and non-skin pixels from a image. An outstanding skin color classifier's establishment needs to consider the color space selection and the skin color modeling technology and so on. And be able to adapt to the changes of all kind light conditions, the different characteristics of imaging equipment and a widely range of differences in skin color samples, and individual differences, while the classifier had better according to the accuracy of different applications to adjust the calculation strategy and the cost of calculation.Of course, this is the ideal state of excellent skin colour classifier.This paper first discussed the common color space used for skin detection,the advantages and disadvantages of each color space,and is there an optimal colorspace for skin detection? Next discuss the existing skin color modeling technology and their respective characteristics.At the moment,many skin detection methods only considered of the pixel-level color information, do not using other information of image in space,like texture information,and the impact of the lighting conditions.Based on SPM method,A new skin detection method using color and texture information is proposed. First,using GrayWorld algorithms to correct the color of image caused by non-standard illuminants and this can improve the performance of true detection. Extract the texture information by using the co-occurrence matrix of gray image to filter pixels that the colors are skin-like. Experimental results shows that this method is performanced better than the SPM method. But still has some problems.