A Texture and Color Based Method for Color Image Segmentation

Author

Haiming, Yin ; Xiaoyan, Lou ; Mangxian, Qiu ; GuangXue, Yue

Author_Institution

Comput. Applic. Res. Lab., Jiaxing Univ, Jiaxing

fYear

2008

fDate

22-24 Sept. 2008

Firstpage

714

Lastpage

717

Abstract

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.

Keywords

fuzzy set theory; image colour analysis; image segmentation; image texture; automatic color image segmentation; color based method; color information; fuzzy image; over-segmented regions; region merging algorithm; texture image processing; uniform surface uncertainty; Application software; Color; Colored noise; Image edge detection; Image processing; Image segmentation; Merging; Pixel; Quantization; Uncertainty; color quantization; image segmentation; uniform surface uncertainty;

fLanguage

English

Publisher

ieee

Conference_Titel

Cyberworlds, 2008 International Conference on

Conference_Location

Hangzhou

Print_ISBN

978-0-7695-3381-0

Type

conf

DOI

10.1109/CW.2008.111

Filename

4741384