Color Image Segmentation Using Improved Region Growing and K-Means Method

Abstract

In areas such as computer vision and image processing, image segmentation has been and still is a relevant research area due to its wide spread usage and application. The traditional segmentation technique which is used in gray-scale mathematical morphology is watershed transform. Region Growing is an approach to image segmentation in which neighbouring pixels are examined and added to a region class if no edges are detected. This process is iterated for each boundary pixel in the region. In this paper, we made enhancements in watershed algorithm and region growing algorithm for image and color segmentation. The new enhanced algorithm is implemented in MATLAB and results are compared with the existing technique in the form of visualization and on the basis of Liu's Ffactor values.