A novel color image segmentation algorithm based on JSEG and Normalized Cuts
Yongzheng Geng, Jian Chen, Li Wang · 2013
Image segmentation is the first step in computer vision project. But it is also the key procedure from image processing to image analysis. With the continuous development of computer hardware and technology advances, more attention has been paid to the color image. Based on previous image segmentation technology, this paper proposes a novel color image segmentation method. The method improves the JSEG(Joint Systems Engineering Group) algorithm, and it uses the results of JSEG as the input of Ncut(Normalized Cuts). Experiments show that this proposed algorithm can obtain a good segmentation results. The two main contributions of this paper are: 1) it is effective to overcome the problems of the large computation, 2) the final image segmentation boundary is more accurate.