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- W2362090439 abstract "A novel image retrieval algorithm based on analysis of multi-scale and multi-orientation is proposed.Aimed at the characteristics of texture image,the performance of real discrete wavelet transform and dual tree complex wavelet transform is compared.The excellent characteristics of rotation-invariance,good orientation selection and finite redundancy are fully utilized,and applied in texture feature extraction.The algorithm uses energy and standard deviation on each subband of the decomposed image as feature vectors,and adopts the distance of Camberra as similarity measurement to retrieve images,which reduces the computation and gets nicer retrieval effect.Experiment proves that the retrieval performance of using dual tree complex wavelet to extract texture feature is better than that of using real discrete wavelet transform,and also prior to the method of gray level co-occurrence matrix.Meanwhile,the proposed scheme possesses rotation-invariance." @default.
- W2362090439 created "2016-06-24" @default.
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- W2362090439 date "2009-01-01" @default.
- W2362090439 modified "2023-09-28" @default.
- W2362090439 title "Texture Image Retrieval Algorithm Based on Analysis of Multi-scale and Multi-orientation" @default.
- W2362090439 hasPublicationYear "2009" @default.
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