Segmentation and classification of multispectral chromosome Images

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http://hdl.handle.net/20.500.12358/24748

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Title	Segmentation and classification of multispectral chromosome Images
Abstract	This work presents an automated method for chromosome segmentation and classification. It takes the advantage of the multi-spectral information in M-FISH chromosome images and utilizes the Discrete Wavelet Transform (DWT) and Bayes rule. The results of the suggested method have shown a high performance of 100%, 92%, and 95% correct classification for three different imaging systems.
Authors	Alhanjouri, Mohammed A. Abou-Chadi, Fatma EZ Hamdy, Nadder
Type	Journal Article
Date	2005
Subjects	mfisn images wavelet transform image processing karyotyping bayes rule
Published in	Radio Science Conference, 2005. NRSC 2005. Proceedings of the Twenty-Second National
Series	Number: 1
Publisher	IEEE
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Collections	Staff Publications- Faculty of Engineering [931]

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