Image Representation Using 2D Gabor Wavelets
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fast and robust fixed-point algorithms for independent component analysis
IEEE Transactions on Neural Networks
Expert Systems with Applications: An International Journal
ICONIP'08 Proceedings of the 15th international conference on Advances in neuro-information processing - Volume Part I
Content-based facial image retrieval using constrained independent component analysis
Information Sciences: an International Journal
Retrieval-Aware image compression, its format and viewer based upon learned bases
ICONIP'06 Proceedings of the 13th international conference on Neural Information Processing - Volume Part II
Brain signal based continuous authentication: functional NIRS approach
IWANN'13 Proceedings of the 12th international conference on Artificial Neural Networks: advences in computational intelligence - Volume Part II
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Similar-image retrieval systems are newly presented and examined. The systems use ICA bases (independent component analysis bases) or PCA bases (principal component analysis bases). These bases can contain source image's information, however, the indeterminacy of ordering and amplitude on the bases exists due to the PCA and ICA problem formulation per se. But, this paper successfully avoids this difficulty by using weighted inner products of similar bases. A set of opinion test is carried out on 18 systems according to the combination of {similarity measures (ICA, PCA, color histogram), color spaces (RGB, YIQ, HSV), filtering (with, without)}. The color histogram method is a traditional method. The opinion test shows that the presented method of {ICA, HSV, without filtering} is the best. Runners-up are {ICA, HSV or RGB or YIQ, with filtering}. The traditional method is judged to be much inferior. Thus, this paper's method is found quite effective to the similar-image retrieval from large databases.