%0 Journal Article
%T New approach for color-texture segmentation of natural images based on the distribution evenness of colors<br>基于色彩均匀度的自然图像色彩—纹理分割方法
%A ZHANG Xin
%A GAO Chao
%A WANG Hui
%A <br>张鑫
%A 高超
%A 王晖
%J 计算机应用
%D 2006
%I 
%X Many present color-texture segmentation methods are either too computing complicated or lack of smoothness in the final results. To solve these problems, a new approach for color-texture segmentation of natural images was proposed, which was based on the distribution evenness of colors and called ISBEC for short. Firstly, input image color was quantized. Then the resulted index map was used to perform simultaneous color segmentation and multi-scale texture analysis. Finally, these results were combined together, and over-segmented regions were merged. ISBEC can also be used to segment gray-scale images if they are converted to color ones in which three color components of each pixel are identical. The experimental results demonstrate the effectiveness of ISBEC for color-texture segmentation of natural images.
%K image segmentation
%K distribution evenness of colors
%K multi-scale texture analysis
%K region growing<br>图像分割
%K 色彩分布均匀度
%K 多尺度纹理分析
%K 区域生长
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=831E194C147C78FAAFCC50BC7ADD1732&aid=02BA43F342B8B21A&yid=37904DC365DD7266&vid=96C778EE049EE47D&iid=5D311CA918CA9A03&sid=EC06C22A73BC2956&eid=498CA27CD8E53B72&journal_id=1001-9081&journal_name=计算机应用&referenced_num=0&reference_num=11