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	Segmentation of vessel images using a localized hybrid level-set method
	Hong, Qingqi ; Wang, Beizhan ; Wang BZ(王备战)
	2013
关键词	Extraction Signal processing
英文摘要	Conference Name:2013 6th International Congress on Image and Signal Processing, CISP 2013. Conference Address: Hangzhou, China. Time:December 16, 2013 - December 18, 2013.; In this paper, a localized hybrid level-set method for vessel image segmentation is proposed. The proposed method integrates both local region information and boundary information for vessel segmentation, which is essential for the accurate extraction of tiny vessel structures. In our proposed technique, the local intensity information is firstly embedded into a region-based contour model, and then incorporated into the level-set formulation of the geodesic active contour model. Compared with the global threshold based method, the use of locally specified dynamic thresholds enables the extraction of the local image information, which is essential for the segmentation of vessel images. Experimental results on vessel images are presented to demonstrate the strengths of our localized hybrid level-set method. ? 2013 IEEE.
语种	英语
出处	http://dx.doi.org/10.1109/CISP.2013.6745243
出版者	IEEE Computer Society
内容类型	其他
源URL	[http://dspace.xmu.edu.cn/handle/2288/85744]
专题	软件学院－会议论文
推荐引用方式 GB/T 7714	Hong, Qingqi,Wang, Beizhan,Wang BZ. Segmentation of vessel images using a localized hybrid level-set method. 2013-01-01.

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