Algorithms for fast computation of Zernike moments and their numerical stability

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Accuracy, speed and numerical stability are among the major factors restricting the use of Zernike moments (ZMs) in numerous commercial applications where they are a tool of significant utility. Often these factors are conflicting in nature. The direct formulation of ZMs is prone to numerical integration error while in the recent past many fast algorithms are developed for its computation. On the other hand, the relationship between geometric moments (GMs) and ZMs reduces numerical integration error but it is observed to be computation intensive. We propose fast algorithms for both the formulations. In the proposed method, the order of time complexity for GMs-to-ZMs formulation is reduced and further enhancement in speed is achieved by using quasi-symmetry property of GMs. The existing q-recursive method for direct formulation is further modified by incorporating the recursive steps for the computation of trigonometric functions. We also observe that q-recursive method provides numerical stability caused by finite precision arithmetic at high orders of moment which is hitherto not reported in the literature. Experimental results on images of different sizes support our claim.

论文关键词:Zernike moments,Geometric moments,Quasi-symmetry,Fast computation,Numerical stability

论文评审过程:Received 13 January 2009, Revised 27 September 2010, Accepted 29 October 2010, Available online 6 November 2010.

论文官网地址:https://doi.org/10.1016/j.imavis.2010.10.003