Journal of Applied Optics, Volume. 40, Issue 4, 644(2019)

Research and application of package defects detection algorithm based on improved GM

SONG Limei1,*... XU Jingwei1, YANG Yangang2, GUO Qinghua1,3 and YANG Huaidong4 |Show fewer author(s)
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  • 1[in Chinese]
  • 2[in Chinese]
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    References(16)

    [1] [1] HU Fangshang. Research on image detection technology of printing quality[D]. Shanghai: East China University of Science and Technology, 2017.

    [3] [3] BAE S H, KIM M. A novel image quality assessment with globally and locally consilient visual quality perception[J]. IEEE Transactions on Image Processing, 2016, 25(5): 2392-2406.

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    [11] [11] GALBALLY J , MARCEL S, FIéRREZ J. Image quality assessment for fake biometric detection: application to iris, fingerprint, and face recognition[J]. IEEE Transactions on Image Process, 2014, 23(2):710-724.

    [12] [12] ZHANG L, ZHANG L, MOU X Q, et al. FSIM: A feature similarity index for image quality assessment[J]. IEEE Transactions on Image Processing, 2011, 20(8): 2378-2386.

    [14] [14] GAO Pan. Research on image texture classification based on improved LBP operator[D]. Chengdu: Southwest Jiaotong University, 2018.

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    SONG Limei, XU Jingwei, YANG Yangang, GUO Qinghua, YANG Huaidong. Research and application of package defects detection algorithm based on improved GM[J]. Journal of Applied Optics, 2019, 40(4): 644

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    Paper Information

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    Received: Dec. 7, 2018

    Accepted: --

    Published Online: Nov. 5, 2019

    The Author Email: Limei SONG (lilymay@126.com)

    DOI:10.5768/jao201940.0403003

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