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Cell image segmentation with kernel-based dynamic clustering and an ellipsoidal cell shape model
Yang, FG; Jiang, TZ
Source PublicationJOURNAL OF BIOMEDICAL INFORMATICS
2001-04-01
Volume34Issue:2Pages:67-73
SubtypeArticle
AbstractIn 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.
KeywordCell Images Image Segmentation Quantitative Pathology Genetic Algorithms
WOS HeadingsScience & Technology ; Technology ; Life Sciences & Biomedicine
WOS KeywordALGORITHM
Indexed BySCI
Language英语
WOS Research AreaComputer Science ; Medical Informatics
WOS SubjectComputer Science, Interdisciplinary Applications ; Medical Informatics
WOS IDWOS:000170378600001
Citation statistics
Cited Times:27[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/9837
Collection09年以前成果
Affiliation1.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
Recommended Citation
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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