DocumentCode :
471781
Title :
A Watershed Based Segmentation Method for Multispectral Chromosome Images Classification
Author :
Karvelis, Petros S. ; Fotiadis, Dimitrios I. ; Georgiou, Ioannis ; Syrrou, Marika
Author_Institution :
Dept. of Comput. Sci., Ioannina Univ.
fYear :
2006
fDate :
Aug. 30 2006-Sept. 3 2006
Firstpage :
3009
Lastpage :
3012
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
Keywords :
Bayes methods; DNA; biomedical optical imaging; cancer; cellular biophysics; genetics; image classification; image colour analysis; image segmentation; medical image processing; transforms; tumours; Bayes classifier; automated method; cancer diagnosis; cytogenetic technique; fluorescent DNA stain; genetic disorders; image intensity gradient magnitude; morphological watershed transform; multicolor fluorescence in situ hybridization; multispectral chromosome image classification; nonoverlapping chromosome images; primitive homogeneous regions; watershed based segmentation method; Biological cells; Cancer; DNA; Fluorescence; Genetics; Image classification; Image databases; Image segmentation; Spatial databases; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE
Conference_Location :
New York, NY
ISSN :
1557-170X
Print_ISBN :
1-4244-0032-5
Electronic_ISBN :
1557-170X
Type :
conf
DOI :
10.1109/IEMBS.2006.260682
Filename :
4462430
Link To Document :
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