Application of Rough Sets to Image Pre-processing for Face Detection
Both of face detection and Face recognition play important role in the technology of biologic character identify.During processing of face image,it is indispensable to pre-processing.In this paper,a Pre-processing method for face color image based on rough sets theory is put forward. In this method,the image is divided as foreground and background by condition attribution.In order to extract the skin color regions,foreground is segmented by two kinds of the skin color model,YCrCb and HSV color spaces.Then, the opening and closing morphological operation are used to remove the small regions.Experiment shows the new algorithm has been tested by the computer simulation,in terms of accuracy extracting the skin color,positive rate of face detection and error rate etc.The results show that it can improve accuracy of extracting the skin color and shorten operation time validly.The result of enhanced image is better and satisfies requirement of face detection.
rough sets face detection face image pre-processing condition attribution indiscernibility relations
Ming Hu Qiang Zhang Zhiping Wang
Liaoning Key Lab of Intelligent Information Processing University of Dalian Dalian 116622,P.R.China Liaoning Key Lab of Information Sciences and Engineering University of Dalian Dalian 116622,P.R.Chin
国际会议
2008 IEEE International Conference on Onformation and Automation(IEEE 信息与自动化国际会议)
张家界
英文
545-548
2008-06-20（万方平台首次上网日期，不代表论文的发表时间）