Laser & Optoelectronics Progress, Volume. 55, Issue 1, 11004(2018)

Image Segmentation Based on Adaptive Fuzzy C-Means and Post Processing Correction

Zhu Zhanlong1,2、* and Wang Junfen1
Author Affiliations
  • 1School of Information Engineering, Hebei GEO University, Shijiazhuang, Hebei 0 50031, China
  • 2Hebei Key Laboratory of Optoelectronic Information and Geo-Detection Technology, Hebei GEO University,Shijiazhuang, Hebei 0 50031, China
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    References(19)

    [11] Szilágyi L, Benyó Z, Szilágyi 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 EMBS, 1, 724-726(2003).

    CLP Journals

    [1] Gong Wenpan, Li Qi, Dong Ruji. Comparison of Composite Image Segmentation Methods for Terahertz Holography Reconstruction Images[J]. Laser & Optoelectronics Progress, 2018, 55(9): 90901

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    Zhu Zhanlong, Wang Junfen. Image Segmentation Based on Adaptive Fuzzy C-Means and Post Processing Correction[J]. Laser & Optoelectronics Progress, 2018, 55(1): 11004

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    Paper Information

    Category: Image Processing

    Received: Jun. 29, 2017

    Accepted: --

    Published Online: Sep. 10, 2018

    The Author Email: Zhu Zhanlong (zzl_seu@163.com)

    DOI:10.3788/LOP55.011004

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