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- W1846768285 abstract "The paper describes a new method to extract and cluster image features for effective still image databases. The feature vectors concerning color and texture are extracted using the multiresolution wavelet. In contrast to traditional image databases where feature vectors extracted from stored images are stored and used to match the feature vector of the input image for similarity retrieval, we use the self-organizing map neural network for clustering stored images. No feature vectors are stored in the databases, which saves storage space. A prototype image database is developed and some experiments are performed using it. The paper reports on the architecture and experimental results." @default.
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- W1846768285 date "2003-01-22" @default.
- W1846768285 modified "2023-09-25" @default.
- W1846768285 title "Image classification and retrieval based on wavelet-SOM" @default.
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- W1846768285 doi "https://doi.org/10.1109/dante.1999.844955" @default.
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