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Volume 27 Issue 11
Nov.  2005
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Cui Pei-ling, Pan Quan, Li Jun-hong, Zhang Hong-cai, Cheng Yong-mei. Image Recognition Using a Projection-Based Wavelet Moment[J]. Journal of Electronics & Information Technology, 2005, 27(11): 1774-1777.
Citation: Cui Pei-ling, Pan Quan, Li Jun-hong, Zhang Hong-cai, Cheng Yong-mei. Image Recognition Using a Projection-Based Wavelet Moment[J]. Journal of Electronics & Information Technology, 2005, 27(11): 1774-1777.

Image Recognition Using a Projection-Based Wavelet Moment

  • Received Date: 2004-05-12
  • Rev Recd Date: 2005-05-18
  • Publish Date: 2005-11-19
  • In this paper, a new wavelet invariant moment based on image projections is proposed. Firstly, Radon transform is used to project the image to 1-D space. Then, a translation and scaling invariant adaptive 1-D wavelet transform is introduced, and the projection data is transformed to wavelet domain to get a feature matrix with translation and scaling invariance. Since the feature matrix is influenced to be cyclically shifted of rows when image rotates, Singular Value Decomposition (SVD) is employed and singular value vector is invariant under image translation, scaling and rotation. Simulation results are given to obtain insight into the efficiencies offered by this method.
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  • Hu M K.Visual pattern recognition by moment invariant. IRE Trans. on Information Theory, 1962, 1(8): 179-187.[2]潘泉, 程咏梅, 杜亚娟, 张洪才. 离散不变矩算法极其在目标识别中的应用[J].电子与信息学报.2001, 23(1):30-36浏览[3]Lo C H, Don H S. Pattern recognition using 3-D moments. 10th International Conference on Pattern Recognition, Atlantic City, USA, 1990, 1: 540-544.[4]Khotanzad A, Hong Y H. Invariant image recognition by Zernike moments[J].IEEE Trans. on Pattern Analysis and Machine Intelligence.1990, 12(5):489-497[5]Liao S X, Pawlak M. On image analysis by moments[J].IEEE Trans. on Pattern Analysis and Machine Intelligence.1996, 18(3):254-266[6]The C H, Chin R T. On image analysis by the methods of[7]moments. IEEE Trans[J].on Pattern Analysis and Machine Intelligence.1988, 10(4):496-513[8]Shen D G, Ip H. Discriminative wavelet shape descriptors for recognition of 2-D patterns[J].Pattern Recognition.1999, 32(2):151-165[9]Xiong H L, Zhang T X, Moon Y S. A translation- and scale- invariant adaptive wavelet transform[J].IEEE Trans. on Image Processing.2000, 9(12):2100-2108[10]Pun C M, Lee M C. Log-polar wavelet energy signatures for rotation and scale invariant texture classification[J].IEEE Trans. on Pattern Analysis and Machine Intelligence.2003, 25(5):590-603[11]Tian J. Comments on A translation- and scale-invariant adaptive wavelet transform[J].IEEE Trans. on Image Processing.2003, 12(9):1091-1093[12]Deans S R. The Radon transform and some of its applications. New York, Wiley, 1983,: 10.[13]Li J H, Pan Q, Zhang H C, Cui P L. Image recognition using Radon transform. The IEEE 6th International Conference on Intelligent Transportation Systems-IV: Image Analysis, Shanghai, China, 2003, 4: 741-745.[14]Al-Shaykh O K, Doherty J F. Invariant image analysis based on Radon transform and SVD. IEEE Trans. on Circuits and Systems-II: Analysis and Signal Processing, 1996, 43(2): 123-133.[15]ftp://ftp.cfar.umd.edu/pub/documents/contrib/databases/UMDlogo_database.tar
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