A Texture and Color Based Method for Color Image Segmentation

被引：0
|
作者：
Yin Haiming [1 ]
Lou Xiaoyan [1 ]
Qiu Mangxian [1 ]
Yue Guangxue [1 ]
机构：
[1] Jiaxing Univ, Comp Applicat Res Lab, Jiaxing 314001, Zhejiang, Peoples R China
来源：
PROCEEDINGS OF THE 2008 INTERNATIONAL CONFERENCE ON CYBERWORLDS | 2008年
关键词：
D O I：
10.1109/CW.2008.111
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A new method of fully automatic color image segmentation is proposed in this paper. First, colors in the image are quantized to several representing classes in the HSI color space. And then the uniform surface uncertainty of every pixel is computed which will be used to generate the fuzzy image. Then seeds are detected and region growing is implemented to form the initial regions. A region merging algorithm base on the color information is used to merge the over-segmented regions. Utilized in natural image and texture image processing, the new method has got a good performance.
引用
收藏
页码：714 / 717
页数：4
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