Title :
An improved graph-based image segmentation algorithm
Author :
Huang Jinghua ; Zhang Jingzun ; Wang Yujian
Author_Institution :
Inf. Sch., Beijing Union Univ., Beijing, China
Abstract :
This paper proposes an efficient representation framework for image segmentation based on perceptual organization. Specifically, a new hierarchy of image representation with three levels is presented. In a bottom-up way, the framework transforms representation between the three levels, and takes the advantages of different organization techniques. A region-based organization approach is developed in the framework for image segmentation. The approach improves previous organization techniques, and makes image segmentation results globally optimum and greedily efficient. The experimental results have proved the effectiveness and efficiency of the image representation framework.
Keywords :
image representation; image segmentation; framework transforms representation; image representation; image segmentation; perceptual organization; Computational intelligence; Computer industry; Electronics industry; Humans; Image representation; Image segmentation; Industrial electronics; Mining industry; NP-hard problem; Pixel; Image classification; Image representation; Image segmentation; Representation Framework;
Conference_Titel :
Computational Intelligence and Industrial Applications, 2009. PACIIA 2009. Asia-Pacific Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-4606-3
DOI :
10.1109/PACIIA.2009.5406643