JOURNAL OF LIGHT INDUSTRY

CN 41-1437/TS  ISSN 2096-1553

Volume 29 Issue 2
March 2014
Article Contents
LYU Hong-li. Image segmentation based on multi-threshold fusion[J]. Journal of Light Industry, 2014, 29(2): 67-70. doi: 10.3969/j.issn.2095-476X.2014.02.017
Citation: LYU Hong-li. Image segmentation based on multi-threshold fusion[J]. Journal of Light Industry, 2014, 29(2): 67-70. doi: 10.3969/j.issn.2095-476X.2014.02.017 shu

Image segmentation based on multi-threshold fusion

  • Received Date: 2013-11-13
    Available Online: 2014-03-15
  • Aiming at the problem that one kind of threshold segmentation algorithms was difficult for different images for effective segmentation,a multi-threshold algorithm fusion method based on introducing several common threshold segmentation algorithms was presented.This method got a set of thresholds by different algorithms and got a combination of them by organic iterative manner,and defined a reward function to select the optimal threshold.The experiment results showed that this method could be used for different types of image to get optimal threshold value for effective segmentation,eliminate the barriers which the user must have prior knowledge and eliminate the trouble of manually selecting segmentation method.
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    1. [1]

      王志明.数字图像处理与分析[M].北京:清华大学版,2012:98-99.

    2. [2]

      Sezgin M,Sankur B.Survey over image thresholding techniques and quantitative performance evaluation[J].Journal of Electronic Imaging,2004(1):146.

    3. [3]

      丁锐,刘甲甲,李柏林,等.改进的Otsu图像多阈值分割方法[J].计算机应用,2013,33(S1):214.

    4. [4]

      陈圣国,孙正兴,周杰.基于FCM和随机游走的地层图像分割方法[J].电子学报,2013,41(3):526.

    5. [5]

      张德丰.详解MATLAB数字图像处理[M].北京:电子工业出版社,2010:252-253.

    6. [6]

      胡颖,崔伟峰.Otsu多阈值分割算法的研究[J].郑州轻工业学院学报:自然科学版,2010,25(2):79.

    7. [7]

      赵荣椿,赵忠明,赵歆波.数字图像处理与分析[M].北京:清华大学版,2013:348-350.

    8. [8]

      Kittler J,Illingworth J.Minimum error thresholding[J].Pattern Recognition,1986,19(1):41.

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      沈阳化工大学材料科学与工程学院 沈阳 110142

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