Rapid image segmentation using color, texture and syntactic visual features

Authors:
Wei Liu;Jiangxin Wu;Liyuan Zuo;Huai Yuan;Hong Zhao
Affiliations:
Research Academy, Northeastern University, Shenyang, China;Research Academy, Northeastern University, Shenyang, China;Research Academy, Northeastern University, Shenyang, China;Research Academy, Northeastern University, Shenyang, China;Research Academy, Northeastern University, Shenyang, China
Venue:
AICI'12 Proceedings of the 4th international conference on Artificial Intelligence and Computational Intelligence
Year:
2012

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Abstract

In this paper, a graph-based hierarchical segmentation algorithm which integrates the color, texture and syntactic visual features is presented. Firstly, it utilizes the color information to conduct coarse segmentation in LUV color space and obtains many color-consistent regions. Next, the texton feature of these regions is extracted and a fine segmentation result can be acquired by merging adjacent regions which have similar texture information. Finally, the syntactic visual processing method is introduced to constrain the small regions. The proposed algorithm is quantitatively and qualitatively evaluated based on a standard image segmentation database. The experiment results demonstrate that this algorithm is efficiently and effectively.