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Cell image segmentation with kernel-based dynamic clustering and an ellipsoidal cell shape model
Yang, FG; Jiang, TZ
2001-04-01
发表期刊JOURNAL OF BIOMEDICAL INFORMATICS
卷号34期号:2页码:67-73
文章类型Article
摘要In this paper, we propose a novel approach to cell image segmentation under severe noise conditions by combining kernel-based dynamic clustering and a genetic algorithm. Our method incorporates a priori knowledge about cell shape. That is, an elliptical cell contour model is introduced to describe the boundary of the cell. Our method consists of the following components: (1) obtain the gradient image; (2) use the gradient image to obtain points which possibly belong to cell boundaries; (3) adjust the parameters of the elliptical cell boundary model to match the cell contour using a genetic algorithm. The method is tested on images of noisy human thyroid and small intestine cells. (C) 2001 Academic Press.
关键词Cell Images Image Segmentation Quantitative Pathology Genetic Algorithms
WOS标题词Science & Technology ; Technology ; Life Sciences & Biomedicine
关键词[WOS]ALGORITHM
收录类别SCI
语种英语
WOS研究方向Computer Science ; Medical Informatics
WOS类目Computer Science, Interdisciplinary Applications ; Medical Informatics
WOS记录号WOS:000170378600001
引用统计
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/9837
专题09年以前成果
作者单位1.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100080, Peoples R China
2.Queens Univ Belfast, Sch Comp Sci, Belfast BT7 1NN, Antrim, North Ireland
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GB/T 7714
Yang, FG,Jiang, TZ. Cell image segmentation with kernel-based dynamic clustering and an ellipsoidal cell shape model[J]. JOURNAL OF BIOMEDICAL INFORMATICS,2001,34(2):67-73.
APA Yang, FG,&Jiang, TZ.(2001).Cell image segmentation with kernel-based dynamic clustering and an ellipsoidal cell shape model.JOURNAL OF BIOMEDICAL INFORMATICS,34(2),67-73.
MLA Yang, FG,et al."Cell image segmentation with kernel-based dynamic clustering and an ellipsoidal cell shape model".JOURNAL OF BIOMEDICAL INFORMATICS 34.2(2001):67-73.
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