Infrared Technology, Volume. 44, Issue 8, 863(2022)

Infrared Image Segmentation Method Based on Fuzzy Clustering with Similarity Thresholding

Feng GUO1、*, Lei ZHENG2,3, Huangxu GE4, Biwu YAN2, and Yifan GUO4
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
  • 4[in Chinese]
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    References(4)

    [13] [13] Mehmet Sezgin, Bent Sankur. Survey over image thresholding techniques and quantitative performance evaluation[J]. Journal of Electronic Imaging, 2004, 13(1):146-161.

    [14] [14] ZOU Yaobin, DONG Fangmin, LEI Bangjun. Maximum similarity thresholding[J]. Digital Image Processing, 2014, 28: 120-135

    [15] [15] Bezdek J C. Pattern Recognition with Fuzzy Objective Function Algorithm[M]. New York: Springer, 1981.

    [16] [16] Ahmed M N, Yamany S M, Mohamed N, et al. A modified fuzzy c-means algorithm for bias field estimation and segmentation of MRI data[J]. IEEE Transactions on Medical Imaging, 2002, 21: 193-199.

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    GUO Feng, ZHENG Lei, GE Huangxu, YAN Biwu, GUO Yifan. Infrared Image Segmentation Method Based on Fuzzy Clustering with Similarity Thresholding[J]. Infrared Technology, 2022, 44(8): 863

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    Paper Information

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    Received: Jan. 21, 2021

    Accepted: --

    Published Online: Oct. 16, 2022

    The Author Email: Feng GUO (maxwell201904@163.com)

    DOI:

    CSTR:32186.14.

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