基于径向Jacobi矩不变性的图像识别

2011 Sixth International Conference on Image and Graphics Pub Date : 2011-08-12 DOI:10.1109/ICIG.2011.62

Bing Xiao, Jianfeng Ma, Jiangtao Cui

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引用次数: 0

摘要

Zernike、伪Zernike、Fourier-Mellin正交矩等径向正交矩作为极坐标系中的正交矩，已成功应用于模式识别领域。然而，这些矩的尺度和旋转不变性尚未得到研究。本文提出了一种基于Jacobi-Fourier矩的径向正交矩尺度和旋转不变分析的一般方法。由于雅可比-傅立叶矩是径向正交矩的一般表达式，它为径向正交矩的不变性分析提供了一个基本的数学工具。实验结果表明，该方法具有较好的识别效率和对噪声的鲁棒性。

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Invariant Image Recognition Using Radial Jacobi Moment Invariants

As orthogonal moments in the polar coordinate, radial orthogonal moments such as Zernike, pseudo-Zernike and orthogonal Fourier-Mellin moments have been successfully used in the field of pattern recognition. However, the scale and rotation invariant property of these moments has not been studied. In this paper, we present a generic approach based on Jacobi-Fourier moments for scale and rotation invariant analysis of radial orthogonal moments. It provides a fundamental mathematical tool for invariant analysis of the radial orthogonal moments since Jacobi-Fourier moments are the generic expressions of radial orthogonal moments. Experimental results show the efficiency and the robustness to noise of the proposed method for recognition tasks.

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2011 Sixth International Conference on Image and Graphics

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