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|Title||Color based image segmentation using different versions of k-means in two spaces|
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.
|Published in||Global Advanced Research Journal of Engineering, Technology and Innovation|
|Series||Volume: 1, Number: 9|
|Item link||Item Link|
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|Ashour, Wesam M._19.pdf||2.587Mb|