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伪Zernike矩不变性分析及其改进研究

DOI: 10.11834/jig.20030388

Keywords: 计算机图象处理(520?6040),伪Zernike矩,不变性,形状,基于区域,基于轮廓

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Abstract:

伪Zernike矩是基于图象整个区域的形状描述算子,而基于轮廓的形状描述子,例如曲率描述子、傅立叶描述子和链码描述子等是不能正确描述由几个不连接区域组成的形状的,因为这些算子只能描述单个的轮廓形状.同时,由于伪Zernike矩的基是正交径向多项式,和Hu矩相比,除了具有旋转不变性、高阶矩和低阶矩能表达不同信息等特征外,还具有冗余性小、可以任意构造高阶矩等特点,另外,伪Zernike矩还可以用于目标重构.目前,伪Zernike矩没有得到广泛的应用,其中的一个主要原因是,它不具备真正意义上的比例不变性.为了能使伪Zernike矩得到更广泛的应用,在详细分析伪Zernike矩不变性的基础上,提出了伪Zernike矩的改进方法,使改进后的伪Zernike矩在保持旋转不变性的同时,还具有真正意义上的比例不变性,同时给出了部分的实验分析结果.实验结果证明,该改进后的伪Zernike矩较改进前的伪Zernike矩,具有更好的旋转和比例不变性.

References

[1]  [1]Teh C H, Chin R T. On image analysis by the method of moments [J]. IEEE Trans. on Pattern Analysis and Machine Intelligence, 1988, 10(4): 496~513.
[2]  [3]Belkasim S O. Pattern recognition with moment invariants-A comparative study and new results [J]. Pattern Recognition,1991, 24(12): 1117~1138.
[3]  [5]Nassery P, Faez K. Signature pattern recognition using pseudozernike moments and a fuzzy logic classifier [A]. In: Proc. of IEEE Conference on Image Processing [ C ]. Lausanne,Switzerland, 1996, 2:197 ~ 200.
[4]  [8]Namazi M, Faez K. Recognition of multifont farsi/arabic characters using a fuzzy neural network[A]. In: Proceeding of IEEE Region 10 Annual International Conference [C ], San Antonio, TX, USA, 1996,2: 918~922.
[5]  [11]Mukundan R, Ramakrishnan K R. Fast computation of legendre and Zernike moments [J]. Pattern Recognition, 1995, 28 (9):1433~1442.
[6]  [13]Prata A, Rusch W V T. Algorithm for computation of Zernike polynomials expansion coefficients [J]. Appl. Opt. , 1989, 28:749~754.
[7]  [15]Ye Bin, Peng Jiaxiong. Invariance analysis of improved Zernike moments[J]. Journal of Optics A: Pure and Applied Optics,2002, 4(6): 606~614.
[8]  [2]Leu J G. Computing a shape\'s moments from its boundary[J].Pattern Recognition, 1991, 24(10): 949~957.
[9]  [4]Khotanzad A. Invariant image recognition by Zernike moments [J]. IEEE Trans. on Pattern Analysis and Machine Intelligence,1990, 12(5): 489~497.
[10]  [6]Mukundan R, Ramakrishnan K R. Moment functions in image analysis-theory and applications [ M ]. Singapore: World Scientific Publishing, 1998.
[11]  [7]Abu-Mostafa Y S, Psaltis D. Image normalization by complex moments [J]. IEEE Trans Pattern Anal Mach Intell, 1985,PAMI-7: 46~55.
[12]  [9]Khotanzad A, Hong Y H. Rotation invariant image recognition using features selected via a systematic method [J]. Pattern Recognition, 1990, 23(10): 1089~1101.
[13]  [10]Kintner E C. On the mathematical properties of the Zernike polynomials[J]. Optica Acta, 1976, 23(8): 679~680.
[14]  [12]Jiang X Y. Simple and fast computation of moments[J]. Pattern Recognition, 1991, 24(8): 801~806.
[15]  [14]Kim Yong-Sung, Kim Whoi-Yul. Content-based trade- mark retrieval system using visually salient feature[J]. Image Vision Compute, 1998, 16(8): 12~13.
[16]  [16]Jeannin S. MPEG-7 visual part of experimental model version 2.0 [S], ISO/IEC JTC1/SC29/WG11/N2822. Vancouver,Canada,July 1999.

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