A New Framework for Color Image Segmentation Using Watershed Algorithm

Abstract

Image segmentation and its performance evaluation are very difficult but important problems in computer vision. A major challenge in segmentation evaluation comes from the fundamental conflict between generality and objectivity. The goal of image segmentation is to cluster pixels into salient image regions, i.e., regions corresponding to individual surfaces, objects, or natural parts of objects. With the improvement of computer processing capabilities and the increased application of color image, researchers are more concerned about color image segmentation. Color image segmentation methods can be seen as an extension of the gray image segmentation method in the color images, but many of the original gray image segmentation methods cannot be directly applied to color images. This requires improving the method of original gray image segmentation method according to the color image which has the feature of rich information or research a new image segmentation method it specially used in color image segmentation.

This paper proposes a color image segmentation method of automatic seed region growing on basis of the region with the combination of the watershed algorithm with seed region growing algorithm which based on the traditional seed region growing algorithm.