Comparing images using color coherence vectors
MULTIMEDIA '96 Proceedings of the fourth ACM international conference on Multimedia
Intelligent image databases: towards advanced image retrieval
Intelligent image databases: towards advanced image retrieval
Data mining: concepts and techniques
Data mining: concepts and techniques
Digital Image Processing
Fusion of LDA and PCA for Face Verification
ECCV '02 Proceedings of the International ECCV 2002 Workshop Copenhagen on Biometric Authentication
Image Indexing Using Weighted Color Histogram
ICIAP '99 Proceedings of the 10th International Conference on Image Analysis and Processing
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This paper intends to propose a way of utilizing color components for image retrieval. Like CLCM, GLCM (Color, Gray Level Co-occurrence Matrix)[11] and Invariant Moment [14] [15] 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 [1][7] 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.