Laser & Optoelectronics Progress, Volume. 57, Issue 24, 241006(2020)

Generalized Fuzzy C-Means for Image Segmentation Based on Adaptive Weighted Image Patch

Zhanlong Zhu1,2,3, Jianbin Dong1,2,3, Mingliang Li1,2,3, Yibo Zheng2,3、*, and Yuan Wang2,3
Author Affiliations
  • 1School of Information Engineering, Hebei GEO University, Shijiazhuang, Hebei 050031, China
  • 2Hebei Key Laboratory of Optoelectronic Information and Geo-Detection Technology, Hebei GEO University, Shijiazhuang, Hebei 050031, China
  • 3Intelligent Sensor Network Engineering Research Center of Hebei Province, Hebei GEO University, Shijiazhuang, Hebei 050031, China
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    References(20)

    [4] Chen S C, Zhang D Q. Robust image segmentation using FCM with spatial constraints based on new kernel-induced distance measure[J]. IEEE Transactions on Systems, Man, and Cybernetics. Part B, Cybernetics, 34, 1907-1916(2004).

    [6] Guo F F, Wang X X, Shen J. Adaptive fuzzy c-means algorithm based on local noise detecting for image segmentation[J]. Iet Image Processing, 10, 272-279(2016).

    [8] Bezdek J C. A convergence theorem for the fuzzy ISODATA clustering algorithms[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2, 1-8(1980).

    [9] Szilagyi L, Benyo Z, Szilagyi S M et al. MR brain image segmentation using an enhanced fuzzy C-means algorithm[C]//Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE Cat. No., 724-726(2003).

    [10] Cai W L, Chen S C, Zhang D Q. Fast and robust fuzzy c-means clustering algorithms incorporating local information for image segmentation[J]. Pattern Recognition, 40, 825-838(2007).

    [12] Krinidis S, Chatzis V. A robust fuzzy local information C-means clustering algorithm[J]. IEEE Transactions on Image Processing, 19, 1328-1337(2010).

    [15] Zhu L, Chung F L, Wang S T. Generalized fuzzy C-means clustering algorithm with improved fuzzy partitions[J]. IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 39, 578-591(2009).

    [16] Zhao F, Jiao L C. Spatial improved fuzzy c-means clustering for image segmentation[C]//Proceedings of 2011 International Conference on Electronic & Mechanical Engineering and Information Technology. August 12-14, 2, 4791-4794(2011).

    [18] Liu Y L, Wang J, Chen X et al. A robust and fast non-local means algorithm for image denoising[J]. Journal of Computer Science and Technology, 23, 270-279(2008).

    [20] Lu H Q, Ge H W. Adaptive gray-weighted robust fuzzy C-means algorithm for image segmentation[J]. CAAI Transactions on Intelligent Systems, 13, 584-593(2018).

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    Zhanlong Zhu, Jianbin Dong, Mingliang Li, Yibo Zheng, Yuan Wang. Generalized Fuzzy C-Means for Image Segmentation Based on Adaptive Weighted Image Patch[J]. Laser & Optoelectronics Progress, 2020, 57(24): 241006

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    Paper Information

    Category: Image Processing

    Received: May. 9, 2020

    Accepted: Jun. 1, 2020

    Published Online: Dec. 2, 2020

    The Author Email: Zheng Yibo (yibo_zheng@126.com)

    DOI:10.3788/LOP57.241006

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