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• W2856670698 abstract "This paper proposed a new Bessel Structure moments for image retrieval. The proposed method has rotation invariance and performs better than orthogonal Fourier-Mellin and Zernike moments in terms of represent global features. The experiments show that the feature descriptors extracting from the proposed algorithm perform better for image retrieval than conventional descriptors by comparing the retrieval accuracy with the same order." @default.
• W2856670698 created "2018-07-19" @default.
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• W2856670698 date "2018-01-01" @default.
• W2856670698 modified "2023-10-06" @default.
• W2856670698 title "On Bessel Structure Moment for Images Retrieval" @default.
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• W2856670698 doi "https://doi.org/10.1007/978-3-319-95930-6_5" @default.
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