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  2015, Vol. 28 Issue (7): 665-672    DOI: 10.16451/j.cnki.issn1003-6059.201507011
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Active Contour Model for Image Segmentation Based on Clustering Information
LI Min, LIANG Jiu-Zhen, LIAO Cui-Cui
Institute of Intelligent Systems and Network Computing, School of Internet of Things Engineering, Jiangnan University, Wuxi 214122

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Abstract  Based on traditional Chan-Vese (CV) model, combining image clustering information, an effective active contour model for image segmentation is proposed in this paper.Firstly, the energy functional of CV model is improved, the gradient information of image is considered, and the accuracy of image segmentation is improved. Then, the coefficient K based on image clustering information is added in energy functional. And the image clustering information is used to initialize the level set curves automatically. In color image segmentation processing, weighting process on the RGB channel is proposed to improve the efficiency of segmentation. Finally, regularization term is added in energy functional to avoid re-initialization of the level set. The gray images and color images are segmented quickly and accurately. Experimental results shows the effectiveness of the proposed method.
Key wordsChan-Vese Model      Level Set Method      K-Means Clustering      Image Segmentation     
Received: 05 June 2014     
ZTFLH: TP391.41  
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LI Min
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Cite this article:   
LI Min,LIANG Jiu-Zhen,LIAO Cui-Cui. Active Contour Model for Image Segmentation Based on Clustering Information[J]. , 2015, 28(7): 665-672.
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http://manu46.magtech.com.cn/Jweb_prai/EN/10.16451/j.cnki.issn1003-6059.201507011      OR     http://manu46.magtech.com.cn/Jweb_prai/EN/Y2015/V28/I7/665
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