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首页> 外文期刊>Pattern Recognition: The Journal of the Pattern Recognition Society >Comments on 'fast computation of jacobi-Fourier moments for invariant image recognition'
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Comments on 'fast computation of jacobi-Fourier moments for invariant image recognition'

机译:评论“不变性图像识别的Jacobi-Fourier时刻的快速计算”

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摘要

In the recent work: "Fast computation of Jacobi-Fourier moments for invariant image recognition, Pattern Recognition 48 (2015) 1836-1843", the authors propose a new method for the recursive computation of Jacobi-Fourier moments. This method reduces the computational complexity in radial and angular kernel functions of the moments, improving the numerical stability of the computation procedure. However, they use a rectangular domain for the computation of the Jacobi-Fourier moments. In this work, we demonstrate that the use of this domain involves the loss of kernel orthogonality. Also, errata and inaccuracies which could lead to erroneous results have been corrected and clarified. Furthermore, we propose a more precise procedure of the moments computation by using a circular pixel tiling scheme, which is based on the image interpolation and an adaptive Simpson quadrature method for the numerical integration. (C) 2017 Elsevier Ltd. All rights reserved.
机译:在最近的工作:“用于不变图像识别的雅可比-傅里叶矩的快速计算,模式识别48(2015)1836-1843”中,作者提出了一种递推计算雅可比-傅里叶矩的新方法。该方法降低了矩的径向核函数和角核函数的计算复杂度,提高了计算过程的数值稳定性。然而,他们使用矩形区域来计算雅可比-傅立叶矩。在这项工作中,我们证明了这个域的使用涉及到核正交性的损失。此外,可能导致错误结果的勘误表和不准确之处已得到纠正和澄清。此外,我们还提出了一种更精确的矩计算方法,即使用基于图像插值和自适应辛普森求积方法的圆形像素拼接方案进行数值积分。(C) 2017爱思唯尔有限公司版权所有。

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