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A novel unified method for the fast computation of discrete image moments on grayscale images

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Abstract

We proposed a new method to compute the discrete image moments in this paper. By simple mathematical deduction, the discrete image moments can be transformed into first-order moments. Therefore, the fast algorithm for first-order moments’ calculation can be used to compute discrete image moments. We also design an efficient computation structure based on systolic array to implement this approach. Since our method does not use the moment kernel polynomials’ properties in the calculation process, the proposed method can be used to compute any discrete image moments in the same way. The presented algorithm has several advantages such as regular and simple computation structure, without multiplication, independent of the image’s intensity distribution, applicable to any discrete moment family. Various experiments demonstrate the effectiveness of the proposed algorithm in comparison with some state-of-the-art methods.

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Acknowledgements

This work is supported by the National Natural Science Foundation of China (Nos. 61433007, 61801337, 61671337, 61701353) and Hubei Education Department Science And Technology Research Project (No. Q20171510).

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Authors and Affiliations

  1. School of Electrical and Information Engineering, Wuhan Institute of Technology, Wuhan, 430205, China

    Xia Hua, Hanyu Hong & Yu Shi

  2. School of Automation, Huazhong University of Science and Technology, Wuhan, 430074, China

    Jianguo Liu

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  1. Xia Hua
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  2. Hanyu Hong
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  3. Jianguo Liu
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  4. Yu Shi
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Correspondence to Xia Hua.

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Hua, X., Hong, H., Liu, J. et al. A novel unified method for the fast computation of discrete image moments on grayscale images. J Real-Time Image Proc 17, 1239–1253 (2020). https://doi.org/10.1007/s11554-019-00878-7

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  • DOI: https://doi.org/10.1007/s11554-019-00878-7

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