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- W2363058082 abstract "In order to overcome the defects of general image retrieval that using same texture feature vector and existing accumulative error in similarity measure,a novel Rotation Invariant Texture Retrieval Method Based on Learning Log-Gabor Subspace Feature Optimization was proposed.The rotation-invariant vector is formed according to the amplitude spectrum and frequency spectrum of the Log-Gabor decomposition.Support Vector Machine(SVM) is introduced as a coarse classifier to reduce the ranges of texture image distribution.Supervised training procedure is adpoted to obtain the optimization discriminative feature subspace in each uype for following step.A quantization operator is introduced to get ride of the affection of accumulative error in the last step of similarity measure.Experiments proved the efficiency of this method for the general texture images." @default.
- W2363058082 created "2016-06-24" @default.
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- W2363058082 date "2006-01-01" @default.
- W2363058082 modified "2023-09-23" @default.
- W2363058082 title "A rotation invariant texture retrieval method based on log-gabor subspace feature optimization" @default.
- W2363058082 hasPublicationYear "2006" @default.
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