The Recognition of Color Images Based on the Singular Value Decompositions of Quaternion Matrices
基于四元数矩阵奇异值分解的彩色图像识别

In this paper, with the experiment in color image databases, it is shown that the SVs contain little information of color image and most important information is contained in the two quaternion unitary matrices of SVDQ. So, a new feature extraction method for color image has been proposed. Firstly, the image is projected on to the orthogonal basis of SVDQ, then the projection coefficient vector is used as algebraic feature of image and applied to recognition. With the experiments for image recognition, it is shown that the recognition rate is increased compared to the method by the singular feature vector.