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基于最大相關(guān)準則的閾值處理算法

周德龍,  朱立明,  潘泉,  張洪才,  戴冠中

周德龍, 朱立明, 潘泉, 張洪才, 戴冠中. 基于最大相關(guān)準則的閾值處理算法[J]. 電子與信息學(xué)報, 2002, 24(1): 136-139.
引用本文: 周德龍, 朱立明, 潘泉, 張洪才, 戴冠中. 基于最大相關(guān)準則的閾值處理算法[J]. 電子與信息學(xué)報, 2002, 24(1): 136-139.
Zhou Delong, Zhu Liming, Pan Quan, Zhang Hongcai, Dai Guanzhong. Thresholding of digital images based on the maximum correlation criterion[J]. Journal of Electronics & Information Technology, 2002, 24(1): 136-139.
Citation: Zhou Delong, Zhu Liming, Pan Quan, Zhang Hongcai, Dai Guanzhong. Thresholding of digital images based on the maximum correlation criterion[J]. Journal of Electronics & Information Technology, 2002, 24(1): 136-139.

基于最大相關(guān)準則的閾值處理算法

Thresholding of digital images based on the maximum correlation criterion

  • 摘要: 閾值法是圖像分割的一種重要方法,在圖像處理與識別中廣為應(yīng)用。本文提出了一種基于最大相關(guān)準則的自動選擇閾值方法。該方法通過使圖像中目標和背景分布的相關(guān)量最大來選擇閾值。仿真分析顯示該算法計算量與熵方法比較大大減少,分割效果則比Yen等人提出的算法更佳。
    Abstract: Thresholding is an important form of image segmentation and is used in the image processing for many applications. In this paper, an automatic technique for thresholding of digital images based on the maximum correlation criterion is presented. This method maximizes the correlations associated with the distributions of the background and object classes to obtain the optimal threshold. It is found that the proposed approach is more effective than that proposed by Yen, and its computational complexity is much lower compared with the methods of entropy.
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  • P.K. Sahoo, S. Soltanti, A. K. C. Wong, Y. C. Chen, A survey of the thresholding teclmiques.Computer Vision Graphics Image Process, 1988, 41(2), 233-260.[2]R.P. Nikhil, K. P. Sankar, A review of image segmentation techniques, Pattern Recognition,1993, 26(9), 1277-1294.[3]A.T. Pun, A new method for gray-level picture thresholding using the entropy of the histogram.[J].Signal Processing.1980,2:223-[4]T. Pun, Entropic thresholding, A new approach, Computer Graphics and Image Proc., 1981,16(3), 210-239.[5]G. Johannsen, J. A. Bille, A threshold selection method using information measures, In: Proc 6ICPR, 1982, 140-143.[6]J.N. Kapur, P. K. Sahoo, A. K. C. Wong, A new method for gray-level picture thresholding using the entropy of the histogram, Computer Graphics, Vision and Image Proc., 1985, 29(3), 273-285.[7]A.S. Abutaleb, Automatic thresholding of grey-level pictures using two-dimensional entropies,Pattern Recognition, 1989, 47, 22-32.[8]R.P. Nikhil, K. P. Sankar, Entropic thresholding, Signal Processing, 1989, 16(1), 97-108.[9]A.D. Brink, Thresholding of digital images using two-dimensional entropies, Pattern Recognition,1992, 25(8), 803-808.[10]J. C. Yen, F. J. Chang, S. Chang, A new criterion for automatic multilevel thresholding, IEEE Trats. on Image Processing, 1995, 4(3), 370-378.
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出版歷程
  • 收稿日期:  1999-05-21
  • 修回日期:  1999-11-25
  • 刊出日期:  2002-01-19

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