Color Based Image Segmentation using Different Versions of K-Means in two Spaces

Faten Abu Shmmala^#1, Wesam Ashour^#2

^#1Computer Department, Islamic University

Corresponding author Email: faten_abu_shmmala@hotmail.com

Abstract 24 December 2012

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.

Keywords: Image segmentation, LAB space, RGB space, K-Means, Weighted K-Mean and Inverse Weighted K-Mean.