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取向估计的原理分析 被引量：1

An Analysis for Orientation Estimation Theory
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摘要 在给出取向的数学定义的基础上,完善了现有研究中对取向估计的原理分析:提出了空域中进行取向估计的基本引理;扩展了频域中进行取向估计的原理分析;并对上述两个部分均给出了理论证明和实例说明.从而有助于解决取向估计的一些基本的理论问题. This paper offers a mathematical definition for orientaion and extends the theoretic analysis for orientation estimation. A lemma for orientalon estimation in spatial field is put forward and the lemma for Fourier transform analysis is proved. Fhrthermore, all the theory analyses are mathematically proved and illustrated by a simple example. Therefore it is meaningful to solve the foundamental theory problems of orientation estimation.
作者 邵晓芳 叶灵伟 王守权 孙即祥
机构地区 海军航空工程学院青岛分院 国防科技大学电子科学与工程学院
出处 《数学的实践与认识》 CSCD 北大核心 2011年第18期182-188,共7页 Mathematics in Practice and Theory
基金 山东省博士基金(2009BSB02003)
关键词 取向 取向估计 取向张量 orientation orientation estimation orientation tensors
分类号 TP391.41 [自动化与计算机技术—计算机应用技术]
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参考文献7

  • 1Ratha N K, Karu K, Chen S, Jain A K. A real-time matching system for large fingerprint databases[J]. IEEE Trans. on Pattern Recognition and Machine Intelligence, 1996, 18(8): 799-812.
  • 2Josef Bigun, Gosta H Granlund, Johan Wiklund. Multidimensional Orientation estimation with applications to texture analysis and optical flow[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1990, 13(8): 775-790.
  • 3Klimanee C, Nguyen D T. On the Design of 2-D Gabor Filtering of Fingerprint Images[C]//First IEEE Consumer Communications and Networking Conference, 2004: 430-435.
  • 4Gunnar Farneback. Spatial Domain Methods for Orientation and Velocity Estimation[D]. Department of Electrical Engineering LinkOpings universitet, SE-581 83 LinkOping, Sweden, 1999.
  • 5Hagen Spies. Gradient Channel Matrices for Orientation Estimation[R]. Report LiTH-ISY-R-2540, Dept, of Electrical Eng., Linkoping University, Linkoping, Sweden, November 2003.
  • 6Rudolf Mester. Orientation Estimation: Conventional Techniques and a New Non-Differential Approach [C]//Proc. 10th European Signal Processing Conf., 2000(2): 921-924.
  • 7Zhou X, Baird J P, Arnold J F. Fringe-orientation estimation by use of a gaussian gradient filter and neighboring-direction averaging[J]. Applied Optics, 1999, 38(5): 795-804.

同被引文献17

  • 1邵晓芳,孙即祥.改进的张量投票算法[J].计算机辅助设计与图形学学报,2006,18(7):1028-1031. 被引量：11
  • 2Spies H. Gradient channel matrices for orientation estimation[R]. Link.ping: Link.ping University. Department of ElectricalEngineering, 2003.
  • 3Mester R. Orientation estimation: conventional techniques anda new non-differential approach[C] //Proceedings of the 10thEuropean Signal Processing Conference. Los Alamitos: IEEEComputer Society Press, 2000: 1-4.
  • 4Zhou X, Baird J P, Arnold J F. Fringe-orientation estimation byuse of a Gaussian gradient filter and neighboring-direction averaging[J]. Applied Optics, 1999, 38(5): 795-804.
  • 5Ratha N K, Chen S Y, Jain A K. Adaptive flow orientationbased feature extraction in fingerprint images[J]. Pattern Recognition,1995, 28(11): 1657-1672.
  • 6Maltoni D,Maio D, Jain A K, et al. Handbook of fingerprintrecognition[M]. 2nd ed. Heidelberg: Springer, 2003: 23-36.
  • 7Zhou J, Gu J W. A model-based method for the computation offingerprints' orientation field[J]. IEEE Transactions on ImageProcessing, 2004, 13(6): 821-835.
  • 8Farneback G. Spatial domain methods for orientation and velocityestimation[D]. Link.ping: Link.ping University. Departmentof Electrical Engineering, 1999.
  • 9Granlund G H, Knutsson H. Signal processing for computer vision[M]. London : Kluwer Academic Publishers, 1995: 1-125.
  • 10Wilson R, Bhalerao A H. Kernel designs for efficient multiresolutionedge detection and orientation estimation[J]. IEEETransactions on Pattern Analysis and Machine Intelligence,1992, 14(3): 384-389.

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数学的实践与认识
2011年 第18期

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