The color retrieval system with color component analysis

摘要

This paper intends to propose a way of utilizing color components for image retrieval. Like CLCM, GLCM (color, gray level co-occurrence matrix) (R. M. Haralick et al., Nov. 1973) and invariant moment (M.K. Hu, Sep. 1961)(M.K. Hu, Feb. 1962) use 2D distribution chart, which use basic statistical techniques in order to interpret 2D data. In order to interpret the spatial relationship and weight of data, this study has used principal component analysis (G. Pass et al., 1996)(Jun Zhang, Sep. 1997) that is used in multivariate statistics. In order to increase accuracy of data, it has proposed a way to project color components on 3D space, to rotate it and then, to extract features of data from all angles.