留言板

尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

姓名
邮箱
手机号码
标题
留言内容
验证码

基于菲涅耳变换的不变矩提取及目标识别方法

薛斌党 邢艳琦

薛斌党, 邢艳琦. 基于菲涅耳变换的不变矩提取及目标识别方法[J]. 北京航空航天大学学报, 2012, 38(8): 1001-1004,1063.
引用本文: 薛斌党, 邢艳琦. 基于菲涅耳变换的不变矩提取及目标识别方法[J]. 北京航空航天大学学报, 2012, 38(8): 1001-1004,1063.
Xue Bindang, Xing Yanqi. Fresnel transform based invariant moments extraction and object recognition method[J]. Journal of Beijing University of Aeronautics and Astronautics, 2012, 38(8): 1001-1004,1063. (in Chinese)
Citation: Xue Bindang, Xing Yanqi. Fresnel transform based invariant moments extraction and object recognition method[J]. Journal of Beijing University of Aeronautics and Astronautics, 2012, 38(8): 1001-1004,1063. (in Chinese)

基于菲涅耳变换的不变矩提取及目标识别方法

详细信息
  • 中图分类号: TP 391

Fresnel transform based invariant moments extraction and object recognition method

  • 摘要: 提出了一种基于菲涅耳变换的不变矩特征提取方法,并应用于图像目标识别.利用菲涅耳变换得到图像的衍射图样,将图像映射到菲涅耳衍射空间;在衍射空间提取几何矩或正交矩来获取图像全局信息的特征描述;利用k近邻法识别目标.实验结果表明基于菲涅耳变换的不变矩提取方法对于平移、尺度及旋转变化的图像目标具有更高的分类精度和抗噪声能力.

     

  • [1] Flusser J,Zitova B,Suk T.Moments and moment invariants in pattern recognition[M].United Kingdom:John Wiley & Sons Ltd,2009
    [2] Zhang Lei,Pu Jiexin,Yu Jia.Object recognition based on modified invariant moments[C]//International Conference on Mechatronics and Automation,2009.Changchun:IEEE,2009:2542-2547
    [3] Han Jianning,Wang Mingquan.Research on digital image recognition system based on multiple invariant moments theory and BP neural network[C]//2010 2nd International Asia Conference on Informatics in Control,Automation and Robotics (CAR).Wuhan:IEEE,2010,3:399-403
    [4] Papakostas G A,Karakasis E G,Koulouriotis D E.Novel moment invariants for improved classification performance in computer vision applications[J].Pattern Recognition,2010,43(1):58-68
    [5] Papakostas G A,Boutalis Y S,Karras D A,et al.Pattern classification by using improved wavelet compressed Zernike moments[J].Applied Mathematics and Computation,2009,212(1):162-176
    [6] Hu M K.Visual pattern recognition by moment invariants[J].IRE Transactions on Information Theory,1962,8(2):179-187
    [7] Singh C,Walia E.Fast and numerically stable methods for the computation of Zernike moments[J].Pattern Recognition,2010,43(7):2497-2506
    [8] Hosny K M.A systematic method for efficient computation of full and subsets Zernike moments[J].Information Sciences,2010,180(11):2299-2313
    [9] Zhang Hui,Shu Huazhong,Han Guoniu,et al.Blurred image recognition by Legendre moment invariants[J].IEEE Transactions on Image Processing,2010,19(3):596-611
    [10] Papakostas G A,Karakasis E G,Koulouriotis D E.Accurate and speedy computation of image Legendre moments for computer vision applications[J].Image and Vision Computing,2010,28(3):414-423
    [11] Papakostas G,Boutalis Y,Karras D,et al.Efficient computation of Zernike and Pseudo-Zernike moments for pattern classification applications[J].Pattern Recognition and Image Analysis,2010,20(1):56-64
    [12] Mukundan R,Ong S H,Lee P A.Image analysis by tchebichef moments[J].IEEE Transactions on Image Processing,2001,10(9):1357-1364
    [13] Deng Cheng,Gao Xinbo,Li Xuelong,et al.A local tchebichef moments-based robust image watermarking[J].Signal Processing,2009,89(8):1531-1539
    [14] Kan C,Srinath M D.Invariant character recognition with Zernike and orthogonal Fourier-Mellin moments[J].Pattern Recognition,2002,35(1):143-154
    [15] Zhang Hui,Shu Huahzong,Haigron P,et al.Construction of a complete set of orthogonal Fourier-Mellin moment invariants for pattern recognition applications[J].Image and Vision Computing,2010,28(1):38-44
    [16] Flusser J.On the independence of rotation moment invariants[J].Pattern Recognition,2000,33(9):1405-1410
    [17] Miao Zhenjiang.Zernike moment-based image shape analysis and its application[J].Pattern Recognition Letters,2000,21(2):169-177
    [18] Born M,Wolf E.Principles of optics:electromagnetic theory of propagation,interference and diffraction of light[M].New York:Cambridge University Press,1999
    [19] Billinge S J L,Thorpe M F.Local structure from diffraction[M].New York:Springer Us,1998
    [20] Garcia-Sucerquia J,Medina F F,Barrera J F.Minute details detection through Fresnel diffraction domain[J].Optics Communications,2005,253(4-6):250-256
    [21] Sabatyan A,Taghi Tavassoly M.Determination of refractive indices of liquids by Fresnel diffraction[J].Optics & Laser Technology,2009,41(7):892-896
    [22] Goodman J W.Introduction to Fourier optics[M].Greenwood Village,Colorado,USA:Roberts & Company Publishers,2005
    [23] Liebling M,Blu T,Unser M.Fresnelets:new multiresolution wavelet bases for digital holography[J].IEEE Transactions on,Image Processing,2003,12(1):29-43
    [24] Liebling M,Blu T,Unser M.Fresnelets:A new wavelet basis for digital holography[C]//Proceedings of the SPIE Conference on Mathematical Imaging:Wavelet Applications in Signal and Image Processing IX.San Diego,CA,USA:Citeseer,2001,4478:347-352
    [25] 蔡履中,王永钤.菲涅耳衍射在标度-距离变换下的相似性[J].山东大学学报:理学版,2001,36(1):56-61
    Cai Lvzhong ,Wang Yongqian.The Similiarity of Fresnel diffraction under scale-distance transform[J].Journal of Shandong University:Natural Science Edition,2001,36(1):56-61(in Chinese)
    [26] Lazebnik S,Schmid C,Ponce J.A maximum entropy framework for part-based texture and object recognition[C]//Tenth IEEE International Conference on Computer Vision,2005.2005,1:832-838
  • 加载中
计量
  • 文章访问数:  1800
  • HTML全文浏览量:  214
  • PDF下载量:  525
  • 被引次数: 0
出版历程
  • 收稿日期:  2011-04-12
  • 网络出版日期:  2012-08-30

目录

    /

    返回文章
    返回
    常见问答