摘要
随着智能化信息处理技术的发展,人脸检测与定位越来越受到重视.本文在利用颜色信息进行皮肤检测的过程中采用YCbCr颜色空间,利用高斯肤色模型,得到图像中任意像素属于肤色的概率,同时借鉴了模式识别中广泛应用的K-均值的思想,设计了基于K-均值聚类方法的肤色分割算法,完成了图像的二值化.
With the development of intelligent information processing technology,increasing attention is paid to man＇s face detection and position.In is paper,we first make available the probability of any pixel belonging to skin color in image by employing the YCbCr color space and Gaussian skin color model in skin detecting with the color information;Meanwhile,to the idea of K-means widely adopted in the model recognition was referenced,a skin color segmenting algorithm based on the K-means clustering method was designed and the task of image binarization was fulfilled.
出处
《甘肃联合大学学报（自然科学版）》
2011年第4期64-66,共3页
Journal of Gansu Lianhe University :Natural Sciences
作者简介
廖绍雯（1977-），女，四川成都人，河西学院讲师，硕士，主要从事图形图像处理、自动识别方面的研究．
