期刊文献+

零点分布更均匀的广义极谐复指数变换

Generalized polar complex exponential transform with more uniform zeros distribution
下载PDF
导出
摘要 针对极谐复指数变换(PCET)因自身径向函数实部和虚部的零点分布不均匀而存在的信息抑制问题,提出了一种零点分布更均匀的广义PCET。首先,改造了PCET,将PCET径向函数的指数推广为更一般的构造函数,而近来出现的指数傅里叶矩(EFM)、分数阶极谐变换、广义极谐变换、修正的广义极谐变换等都是所提广义PCET的特例;其次,选取了构造函数,使得所构造的广义PCET的径向函数实部和虚部的零点分布更均匀,并给出了这一特性的证明。在所取的汉字图像库、Coil-20库和COREL库上进行了图像重构实验,同时测试了广义PCET的旋转不变性及抗噪性能。当噪声强度为0时,PCET和广义PCET的识别率均为100%,这验证了PCET和广义PCET的旋转不变性。相较于PCET,所提广义PCET具有更低的重构误差及更高的识别率。理论分析和实验结果表明,零点分布比PCET更均匀的广义PCET同样具有旋转不变性和正交性,且其重构性能和抗噪性能均优于PCET,一定程度上解决了PCET的信息抑制问题,并在原点处数值稳定。 In order to address the information suppression problem of Polar Complex Exponential Transform(PCET),which is caused by nonuniform zeros distribution in the real part and imaginary part of PCET's radial function,a generalized PCET with more uniform zeros distribution was proposed.First,PCET was modified,and the exponential part of PCET's radial function was generalized to a more general constructor.And recently proposed Exponent-Fourier Moment(EFM),fractional-order polar harmonic transform,generic polar complex exponential transform and the modified generic polar complex exponential transform are all the special cases of the proposed generalized PCET.Second,a constructor was chosen to make the zeros distribution in the real part and imaginary part of radial function of generalized PCET more uniform.And the proof of this property was given.Image reconstruction experiments were conducted on the selected Chinese character image,Coil-20 and COREL databases,and the rotation invariance and anti-noise performance of generalized PCET were tested.When the noise intensity is 0,both the recognition rates of PCET and generalized PCET are 100%,verifying the rotation invariance of PCET and generalized PCET.Compared with PCET,the proposed generalized PCET has lower reconstruction error and higher recognition rate.Theoretical analysis and experimental results show that the proposed generalized PCET with zeros distribution more uniform than PCET also has rotation invariance and orthogonality,and its reconstruction performance and anti-noise performance are better than those of PCET,which solves the information suppression problem of PCET to a certain extent,and is numerically stable at the origin.
作者 曾泽芝 杨建伟 ZENG Zezhi;YANG Jianwei(School of Mathematics and Statistics,Nanjing University of Information Science and Technology,Nanjing Jiangsu 210044,China)
出处 《计算机应用》 CSCD 北大核心 2023年第8期2499-2504,共6页 journal of Computer Applications
基金 国家自然科学基金资助项目(61572015)。
关键词 极谐复指数变换 径向函数 零点分布 图像重构 信息抑制 Polar Complex Exponential Transform(PCET) radial function zeros distribution image reconstruction information suppression
  • 相关文献

参考文献1

二级参考文献10

  • 1刘进,张天序.图像不变矩的推广[J].计算机学报,2004,27(5):668-674. 被引量:47
  • 2袁海军,文玉梅,李平,叶波.不变矩系数拟合的步态识别[J].计算机应用,2007,27(4):922-924. 被引量:5
  • 3HU MING-KUEI. Visual pattern recognition by moment invariants [ J]. IRE Transactions on Information Theory, 1962, IT-8(2): 179 - 187.
  • 4FLUSSER J, SUK T. Pattem recognition by affine moment invariants [J]. Pattern recognition, 1993, 26(1) : 167 - 174.
  • 5FLUSSER J, SUK T. A moment-based approach to registration of images with affine geometric distortion [ J]. IEEE Transactions on Geoscience and Remote Sensing, 1994, 32(2): 382-387.
  • 6CHEN CHAUR-CHIN. Improved moment invariants for shape discrimination [J]. Pattern Recognition, 1994, 26(5):683-686.
  • 7MOSTAFA A Y S, PSALTIS D. Recognitive aspects of moment invariants [ J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1984, 6(6):698-706.
  • 8MOSTAFA A Y S, PSALTIS D. Image normalization by complex moments [ J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1985, 7(1) : 46 - 55.
  • 9ROTHE I, SUSSE H, VOSS K. The method of normalization to determine invariants [ J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1996, 18(4) : 366 -376.
  • 10邵泽明,朱剑英.RSTC不变矩图像特征点匹配新方法[J].华南理工大学学报(自然科学版),2008,36(8):37-40. 被引量:7

共引文献52

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部