Color Image Segmentation for Medical Images using L*a*b* Color Space

Abstract

Image segmentation is always a fundamental but challenging problem in computer vision. The simplest approach to image segmentation may be clustering of pixels. Our works in this paper address the problem of image segmentation under the paradigm of clustering. A robust clustering algorithm is proposed and utilized to do clustering on the L*a*b* color feature space of pixels. Image segmentation is straightforwardly obtained by setting each pixel with its corresponding cluster. We test our segmentation method on medical images and Mat lab standard images.The experimental results clearly show region of interest object segmentation.