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Acta Optica Sinica, Volume. 26, Issue 4, 506(2006)

Image Segmentation Using the Maximum Entropy of the Two-Dimensional Bound Histogram

[in Chinese]1,2、*, [in Chinese]3, [in Chinese]2, and [in Chinese]1
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  • 1[in Chinese]
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  • 3[in Chinese]
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    [1] [1] T. Pun. A new method for grey-level picture thresholding using the entropy of the histogram[J]. Signal Processing, 1980, 2(3): 223～237

    [2] [2] G. Johannsen, J. Bille. A threshold selection method using information measures[C]. Proceedings of the 6th International Conference on Pattern Recognition, Munich, Germany, 1982, 1: 140～142

    [3] [3] J. N. Kapur, P. K. Sahoo, A. K. C. Wong. A new method for gray-level picture thresholding using the entropy of the histogram[J]. Computer Vision, Graphics, and Image Processing, 1985, 29(3): 273～285

    [4] [4] A. S. Abutaleb. Automatic thresholding of gray-level pictures using two-dimensional entropy[J]. Computer Vision, Graphics, and Image Processing, 1989, 47(1): 22～32

    [5] [5] N. R. Pal, S. K. Pal. Entropic thresholding[J]. Signal Processing, 1989, 16(2): 97～108

    [6] [6] A. K. C. Wong, P. K. Sahoo. A gray-level threshold selection method based on maximum entropy principle[J]. IEEE Transactions on Systems, Man and Cybernetics, 1989, 19(4): 866～871

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    [in Chinese], [in Chinese], [in Chinese], [in Chinese]. Image Segmentation Using the Maximum Entropy of the Two-Dimensional Bound Histogram[J]. Acta Optica Sinica, 2006, 26(4): 506

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    Paper Information

    Category: Image Processing

    Received: Mar. 29, 2005

    Accepted: --

    Published Online: May. 17, 2006

    The Author Email: (ghtao2005@sina.com)

    DOI:

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology