关键词: 彩色图像, 色彩空间, 图像分割, 变分模型, 分裂Bregman方法

Abstract: Nowadays, color image is main form of digital images, and its segmentation problem becomes a hot and difficult topic in image processing. Aimed to improve the accuracy and efficiency of color image segmentation, a method based on a color space is presented. The effect of the proposed color space is mainly to increase difference among the three tunnels, thus the color information of images can be fully used. In order to give segmentation results in a high efficiency, the proposed segmentation method takes vector image as the target, follows the background removing idea and applies split Bregman to solve the corresponding minimization problem. Experimental results demonstrate that the proposed method can segment all target parts in image effectively and integrality, which has a highly accuracy.

Key words: color image, color space, image segmentation, variational model, split Bregman method