Optoelectronic Technology, Volume. 39, Issue 2, 90(2019)

Application of Local Adaptive Threshold Algorithm in LED Grain Counting

WANG Xiangshi1、*, ZHOU Wei1, and PENG Li2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
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    References(14)

    [3] [3] Vese L A,Chan T F.A multiphase level set framework for image segmentation using the Mumford and Shah model[J].International Journal of Computer Vision. 2002.50(3):271-293.

    [4] [4] Li C,Kao C Y,Gore J C,et al. Implicit active contours driven by local binary fitting energy[C]. Conference on Computer Vision and Pattern Recognition.Washington D C:IEEE.2007:1-7.

    [5] [5] Zhang K, Song H, Zhang L. Active contours driven by local image fitting energy[J]. Pattern Recognition, 2010, 43(4):1199-1206.

    [6] [6] Bataineh B, Abdullah S N H S, Omar K. An adaptive local binarization method for document images based on a novel thresholding method and dynamic windows[J]. Pattern Recognition Letters, 2011, 32(14):1805-1813.

    [7] [7] Ntirogiannis K, Gatos B, Pratikakis I. A combined approach for the binarization of handwritten document images[J]. Pattern Recognition Letters, 2014, 35(1):3-15.

    [9] [9] Chang Y F, Pai Y T, Ruan S J. An Efficient Thresholding Algorithm for Degraded Document Images Based on Intelligent Block Detection[C]. International Conference on Systems. IEEE, 2009:.

    [11] [11] Niblack W. An introduction to digital image processing[M].New Jersey: Prentice Hall, 1986. 115-116.

    [12] [12] Sauvola Sauvola J, Pietik Inen M. Adaptive document image binarization[J]. Pattern Recognition, 2000, 33(2):225-236.

    [13] [13] Badekas E, Papamarkos N. Automatic Evaluation of Document Binarization Results[J]. Lecture Notes in Computer Science, 2005, 3773:1005-1014.

    [14] [14] Romen Singh T, Sudipta Roy, Imocha Q Singh. A New Local Adaptive Thresholding Technique in Binarization [J]. International Journal of Computer Science Issues. 2011,8(6):271-277.

    [16] [16] Liu T, Sun J, Zheng N N, et al. Learning to detect a salient object[C]. IEEE Conference on Computer Vision & Pattern Recognition. IEEE, 2007.

    [17] [17] Chen C L P, Hong L, Wei Y, et al. A local contrast method for small infrared target detection[J]. IEEE Transactions on Geoscience & Remote Sensing, 2013, 52(1):574-581.

    [19] [19] Lin K H,Chen S L,Mittra R. A looped-bowtie RFID tag an tenna design for metallic objects [J].IEEE Transactions on Antennas & Propagation,2013,61 (2) :499-505.

    [22] [22] Song J,Delp E J.The analysys of morphological filters with multiple structuring elements[J].Computer Vision Graphics and Image Processing,1990.50:308-328.

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    WANG Xiangshi, ZHOU Wei, PENG Li. Application of Local Adaptive Threshold Algorithm in LED Grain Counting[J]. Optoelectronic Technology, 2019, 39(2): 90

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    Paper Information

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    Received: Mar. 11, 2019

    Accepted: --

    Published Online: Jul. 31, 2019

    The Author Email: Xiangshi WANG (wangxs@wxit.edu.cn)

    DOI:10.19453/j.cnki.1005-488x.2019.02.004

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