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http://hdl.handle.net/20.500.12358/24748
TitleSegmentation and classification of multispectral chromosome Images
Untitled
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
TypeJournal Article
Date2005
Subjects
mfisn images
wavelet transform
image processing
karyotyping
bayes rule
Published inRadio Science Conference, 2005. NRSC 2005. Proceedings of the Twenty-Second National
SeriesNumber: 1
PublisherIEEE
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  • Staff Publications- Faculty of Engineering [908]
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The institutional repository of the Islamic University of Gaza was established as part of the ROMOR project that has been co-funded with support from the European Commission under the ERASMUS + European programme. This publication reflects the views only of the author, and the Commission cannot be held responsible for any use which may be made of the information contained therein.

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The institutional repository of the Islamic University of Gaza was established as part of the ROMOR project that has been co-funded with support from the European Commission under the ERASMUS + European programme. This publication reflects the views only of the author, and the Commission cannot be held responsible for any use which may be made of the information contained therein.

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