Please use this identifier to cite or link to this item:
http://hdl.handle.net/20.500.12358/24521
Title | Color based image segmentation using different versions of k-means in two spaces |
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Untitled | |
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 | |
Type | Journal Article |
Date | 2013 |
Published in | Global Advanced Research Journal of Engineering, Technology and Innovation |
Series | Volume: 1, Number: 9 |
Citation | |
Item link | Item Link |
License | ![]() |
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Files in this item | ||
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Ashour, Wesam M._19.pdf | 2.587Mb |