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http://hdl.handle.net/20.500.12358/24521
TitleColor based image segmentation using different versions of k-means in two spaces
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Abstract

In this paper color based image segmentation is done in two spaces. First in LAB color space and second in RGB space all that done using three versions of K-Means: K-Means, Weighted K-Means and Inverse Weighted K-Means clustering algorithms for different types of images: biological images (tissues and blood cells) and ordinary full colored images. Comparison and analysis are done between these three algorithms in order to differentiate between them.

Authors
Abu Shmmala, Faten
Ashour, Wesam M.
TypeJournal Article
Date2013
Subjects
lab space
rgb space
weighted k-mean and inverse weighted k- mean
k-means
image segmentation
Published inGlobal Advanced Research Journal of Engineering, Technology and Innovation
SeriesVolume: 1, Number: 9
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  • Staff Publications- Faculty of Engineering [906]
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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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