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广义雅可比-傅立叶矩

Generic Jacobi-Fourier moments
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摘要 图像正交矩具有数值稳定和方便重构等优点,雅可比-傅立叶矩(JFM)是传统正交矩的推广,然而其定义中的径向函数仅是整数阶多项式。本文改造JFM的径向函数,提出广义JFM,其定义中的径向函数既可以是分数阶的多项式,也可以是更一般的函数,JFM仅是这种构造的特例,并且证明了所提广义JFM的正交性和旋转不变性。数值实验也表明,利用所提方法可构造出重构性能好、抗噪性能强的图像正交矩。 Image orthogonal moments have the advantages of numerical stability and convenient reconstruction, and Jacobi-Fourier moment (JFM) is a promotion of traditional orthogonal moment. However, its definition of the radial function is only integer order polynomial. In this paper,we transform the radial function of JFM and propose a generic Jacobi-Fourier moment. The definition of the radial function can not only be fractional order polynomial, but also can be a more general function, and JFM is just a special case of this kind of structure. Meanwhile, we prove the orthogonality and rotation invariance of proposed generic JFM. Numerical experimental results also show that image orthogonal moments which are more robustness to noise and better reconstruction can be structured using the proposed method.
出处 《光电子.激光》 EI CAS CSCD 北大核心 2017年第10期1163-1168,共6页 Journal of Optoelectronics·Laser
基金 国家自然科学基金(61572015 41375115 11301276)资助项目
关键词 雅可比-ig立叶矩(JFM) 正交矩 旋转不变性 Jacobi-Fourier moment (JFM) orthogonal momentl rotation invariance
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  • 1余瑞星,李言俊,张科.基于离散余弦变换的水平集算法研究[J].光电子.激光,2006,17(6):738-741. 被引量:4
  • 2李雷达,郭宝龙,刘雅宁.基于伪Zernike矩的抗几何攻击图像水印[J].光电子.激光,2007,18(2):231-235. 被引量:21
  • 3Oasasent D, Psaltis D. Position, rotation and scale invariant optical correlation[J]. Applied Optics, 1976,15:1795-1799.
  • 4Arsennault H H and Sheng Y. Properties of the circular harmonic expansion for rotation-invariant pattern recognition[J]. Appl Opt, 1986, 25(18) :3225-3229.
  • 5Ping Z L,Sheng Y L. Fourier-mellin descriptor and interpolated feature space trajectories for three-dimensional object recognition [J]. Opt Eng, 2000,39 : 1260-1266.
  • 6Hu M K. Visual pattern recognition by moment invariants. IRE Trans Inf Theory IT-8,1962,179-187.
  • 7Teague M R. Image analysis via the general theory of rnoments[J]. J Opt Soc Am,1980,70:920-930.
  • 8Sheng Y,Shen L. Orthogonal Fouier-mellin moments for invariant pattern recognition[J]. J Opt Soc Am A,1994,6:1748-1757.
  • 9Ping Z L, Rigen Wu, Sheng Y L. Image description with chebyshevFourier moments[J]. J Opt Soc Am A,2002,19(9): 1748-1754.
  • 10Ren H P, Ping Z L. Wurigen and Sheng Y L. Multi-distorted invariant image recognition with radial-harmonic-Fourier moments[J]. J Opt Soc Am A,2003,20(4) :631-637.

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