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.
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Acknowledgements
This work is supported by the National Natural Science Foundation of China under grant nos. 61462002 and 61261043, Higher School Scientific Research Projects of Ningxia Province (No. NGY2016144), Education and Teaching Reform Project of North University of Nationalities (Nos. 2016JY0805 and 2016JY1205), Initial Scientific Research Fund of North University of Nationalities. The authors would like to thank the anonymous referees for their valuable comments and suggestions.
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Ma, Zp., Ma, Jl. (2018). On Bessel Structure Moment for Images Retrieval. In: Huang, DS., Bevilacqua, V., Premaratne, P., Gupta, P. (eds) Intelligent Computing Theories and Application. ICIC 2018. Lecture Notes in Computer Science(), vol 10954. Springer, Cham. https://doi.org/10.1007/978-3-319-95930-6_5
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