Algorithms for Computing Zernike Moments and Image Reconstruction in Parallel Process

机译：并行过程中Zernike矩的计算和图像重建算法

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Zernike moments can be computed in several ways. This paper proposes several coefficient methods based on the recursive relations among multinomial coefficients to compute the Zernike moments. In addition, it proposes a parallel algorithm based on the q-recursive method for image reconstruction. The experimental results show that it takes only 3.965 seconds to reconstruct an image measuring 512 X 512 from all Zernike moments up to moment order 150.

机译：Zernike矩可以用几种方法来计算。本文基于多项式系数之间的递归关系，提出了几种系数方法来计算Zernike矩。此外，提出了一种基于q-递归方法的图像重建并行算法。实验结果表明，从所有Zernike矩直至矩阶150，重建一个尺寸为512 X 512的图像仅需3.965秒。

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《International Conference on Information Science and Control Engineering》|2015年|105-109|共5页
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An-Wen Deng; Chia-Hung Wei; Chih-Ying Gwo;
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Zernike moments; finite groups; parallel computing;

机译：Zernike矩有限群并行计算;

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2. Edge Detection in UAV Remote Sensing Images Using the Method Integrating Zernike Moments with Clustering Algorithms [J] . Huang Liang, Yu Xueqin, Zuo Xiaoqing International journal of aerospace engineering . 2017,第pta1期

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3. Image Zernike Moments Shape Feature Evaluation Based on Image Reconstruction [J] . LIU, Maofu, HE, 地球空间信息科学学报：英文版 . 2007,第003期

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4. Algorithms for Computing Zernike Moments and Image Reconstruction in Parallel Process [C] . An-Wen Deng, Chia-Hung Wei, Chih-Ying Gwo International Conference on Information Science and Control Engineering . 2015

机译：并行过程中计算Zernike矩和图像重建的算法
5. Numerical issues from inverse problems in image processing: Parameter estimation, and parallel algorithms for a high performance computing environment. [D] . Lin, Youzuo. 2010

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6. A parallel computing interface to facilitate development of physiologic signal processing algorithms. [O] . M. I. Oppenheim, M. Factor, D. F. Sittig 1991

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7. Computed Tomography Image Quality Evaluation of a New Iterative Reconstruction Algorithm in the Abdomen (Adaptive Statistical Iterative Reconstruction–V) a Comparison With Model-Based Iterative Reconstruction, Adaptive Statistical Iterative Reconstruction, and Filtered Back Projection Reconstructions [O] . Martin H. Goodenberger, Nicolaus A. Wagner-Bartak, Shiva Gupta, 2018

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8. Distributed Computing for Signal Processing: Modeling of Asynchronous Parallel Computation. Appendix C. Fault Tolerant Interconnection Networks and Image Processing Applications for the PASM Parallel Processing Systems [R] . Adams, G. B. 1984

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Algorithms for Computing Zernike Moments and Image Reconstruction in Parallel Process

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