%0 Journal Article
%T A Novel Color Image Segmentation Algorithm Based on Vector Quantization and Region Growing<br>基于矢量量化和区域生长的彩色图像分割新算法
%A FAN Jing-hui
%A WU Jian-hu
%A LIU Ye
%A <br>范静辉
%A 吴建华
%A 刘晔
%J 中国图象图形学报
%D 2005
%I 
%X In order to solve the problem of the negative effects of shading and uneven illuminations in the color image on segmentation,this paper proposes a novel algorithm for color image segmentation based on vector quantization and region growing.The algorithm takes into account both color information and spatial information of color images,which avoids the insufficiency of previous methods which have considered either the color information of the image,or the spatial information of the image.Firstly,the color image is quantized by using a modified generalized Lloyd algorithm(GLA),and then selects seed pixels in terms of the quantization results of color images.Secondly,from each seed pixel region growing is performed based on the vector angle similarity criterion.Finally,fuzzy C-means(FCM) algorithm is used to classify the remaining pixels which have not been classified into regions being formed earlier.The experiments show that the negative effects of shading and uneven illuminations in the color image on segmentation can be overcome to a great extent by using the proposed algorithm.Color image segmentation results of the proposed approach hold favorable consistency in terms of human visual perception.
%K color image segmentation
%K vector quantization
%K seed determination
%K region growing<br>彩色图像分割
%K 矢量量化
%K 种子选取
%K 区域生长
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D06194629680C940ACE75262F54B9D85&aid=2C242C708E829019&yid=2DD7160C83D0ACED&vid=F3090AE9B60B7ED1&iid=9CF7A0430CBB2DFD&sid=E062BF8B95A95FD2&eid=5A9F0976AE79CB6F&journal_id=1006-8961&journal_name=中国图象图形学报&referenced_num=4&reference_num=5