A quaternion-based spectral clustering method for color image segmentation
Spectral clustering method has been widely used in image segmentation. A key issue in spectral clustering is how to build the affinity matrix. When it is applied to color image segmentation, most of the existing methods either use Euclidean metric to define the affinity matrix, or first converting color-images into gray-level images and then use the gray-level images to construct the affinity matrix (component-wise method). However, it is known that Euclidean distances can not represent the color differences well and the component-wise method does not consider the correlation between color channels. In this paper, we propose a new method to produce the affinity matrix, in which the color images are first represented in quaternion form and then the similarities between color pixels are measured by quaternion rotation (QR) mechanism. The experimental results show the superiority of the new method.
Quaternion spectral clustering color image segmentation
Xiang Li Lianghai Jin Hong Liu Zeng He
School of Civil Engineering and Mechanics, Huazhong University of Science and Technology,Wuhan, 4300 School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, 430 School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, 430 School of Civil Engineering and Mechanics, Huazhong University of Science and Technology,Wuhan, 4300
国际会议
桂林
英文
1-8
2011-11-01(万方平台首次上网日期,不代表论文的发表时间)