NDLI: A Watershed Based Segmentation Method for Multispectral Chromosome Images Classification

Content Provider	IEEE Xplore Digital Library
Author	Karvelis, P.S. Fotiadis, D.I. Georgiou, I. Syrrou, M.
Copyright Year	2006
Description	Author affiliation: Dept. of Comput. Sci., Ioannina Univ. (Karvelis, P.S.; Fotiadis, D.I.)
Abstract	M-FISH (multicolor fluorescence in situ hybridization) is a recently developed cytogenetic technique for cancer diagnosis and research on genetic disorders which uses 5 fluors to label uniquely each chromosome and a fluorescent DNA stain. In this paper, an automated method for chromosome classification in M-FISH images is presented. The chromosome image is initially decomposed into a set of primitive homogeneous regions through the morphological watershed transform applied to the image intensity gradient magnitude. Each segmented area is then classified using a Bayes classifier. We have evaluated our methodology on a commercial available M-FISH database. The classifier was trained and tested on non-overlapping chromosome images and an overall accuracy of 89% is achieved. By introducing feature averaging on watershed basins, the proposed technique achieves substantially better results than previous methods at a lower computational cost
Sponsorship	IEEE EMB
Starting Page	3009
Ending Page	3012
File Size	640228
Page Count	4
File Format	PDF
ISBN	1424400325
ISSN	1557170X
DOI	10.1109/IEMBS.2006.260682
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-08-30
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image segmentation Biological cells Image classification Fluorescence Cancer Genetics DNA Image databases Spatial databases Testing
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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