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.
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Liu, W., Wu, J., Zuo, L., Yuan, H., Zhao, H. (2012). Rapid Image Segmentation Using Color, Texture and Syntactic Visual Features. In: Lei, J., Wang, F.L., Deng, H., Miao, D. (eds) Artificial Intelligence and Computational Intelligence. AICI 2012. Lecture Notes in Computer Science(), vol 7530. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33478-8_53
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DOI: https://doi.org/10.1007/978-3-642-33478-8_53
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