Electro-Optic Technology Application, Volume. 28, Issue 4, 49(2013)

Object Recognition Based on Invariant Moment and Improved Back Propagation Neural Network

WEN Hua-rong1... LI Zhi2, FENG Yi3 and WU Xiao-di3 |Show fewer author(s)
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  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
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    References(5)

    [1] [1] HU M K. Visual pattern recognition by moment invariants[J]. IEEE Transactions on Information Theory, 1962, 8(2): 179-187.

    [2] [2] WONG W H, SIU W C. Improved digital filter structure for fast moment computation[J]. IEEE Proceedings in Vision, Image and Signal Processing, 1999, 146:73-79.

    [3] [3] DUDANI S A, BREEDING K J, MCGHEE R B. Aircraft identification by moment invariants[J]. IEEE Transactions on Computers, 1983, 26(1):39-45.

    [4] [4] LIAO S X, PAWLAK M. On the accuracy of Zernike moments for image analysis[J]. IEEE Transactions on PatterAnalysis and Machine Intelligence, 1998, 20 (12): 1358-1364.

    [5] [5] ZION B, SHKLYA A, KARPLUS I. In-vivo fish sorting by computer vision[J]. Aquaculture Engineering, 2000, 22: 165-179.

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    WEN Hua-rong, LI Zhi, FENG Yi, WU Xiao-di. Object Recognition Based on Invariant Moment and Improved Back Propagation Neural Network[J]. Electro-Optic Technology Application, 2013, 28(4): 49

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    Paper Information

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    Received: May. 14, 2013

    Accepted: --

    Published Online: Jul. 29, 2013

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    CSTR:32186.14.

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