Color image segmentation based on a modified k-means algorithm

Abstract

Image segmentation is the first job in the process of machine vision, It plays a key role for the later results of image analysis results later, Therein color image segmentation is a more difficult task. This paper proposed an improved bisecting k-means algorithm. The image is segmented in LAB color space. This method does not need to determine the value of K in advance, Thus it improves the adaptability of the algorithm and lowers the subjectivity of segmentation. The experiment has shown that the algorithm can automatically determine the value of K more accurately.