Image Segmentation Using Both Chromaticity and Brightness Information

Abstract

This paper describes an image segmentation method using both chromaticity and brightness information to obtain general components of image. The chromaticity distribution of the image is represented by a tree, thereby chromaticity space is split. The merging regions of the image are created by means of simplification of the tree representation and then each region is segmented by brightness information. Classifying the color image as between high brightness pixel with hue or the other, the proposed method can decrease an information of noise included under low brightness pixel. The process time of the proposed method is very shorter than that of the existing method. Furthermore, a mutual relationship between segmentation in each region that can not be obtained using only brightness information can be obtained using both chromaticity and brightness information.