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	Biological cell image segmentation using novel hybrid morphology-based method
	Xie, Jiezhen ; Yu, Xiaoxing ; Zheng, Xuling ; Zheng XL(郑旭玲)
	2012
关键词	Artificial intelligence Cells Morphology Watersheds
英文摘要	Conference Name:2012 5th International Symposium on Computational Intelligence and Design, ISCID 2012. Conference Address: Hangzhou, China. Time:October 28, 2012 - October 29, 2012.; In this paper, we propose a novel hybrid method for the segmentation and automatic counting of biological cell image. The method is based on techniques of morphology, thresholding and watershed. It performs well in low contrast image where gradient-based method may fail. Experimental results on practical cell images are shown in the paper with the emphasis on the comparisons between the novel hybrid method and the gradient-based methods: Sobel [1], Canny [2] and GAC [3] of level-set. 漏 2012 IEEE.
语种	英语
出处	http://dx.doi.org/10.1109/ISCID.2012.202
出版者	IEEE
内容类型	其他
源URL	[http://dspace.xmu.edu.cn/handle/2288/86804]
专题	信息技术－会议论文
推荐引用方式 GB/T 7714	Xie, Jiezhen,Yu, Xiaoxing,Zheng, Xuling,et al. Biological cell image segmentation using novel hybrid morphology-based method. 2012-01-01.

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