Laser & Optoelectronics Progress, Volume. 56, Issue 15, 151005(2019)

Insulator Image Segmentation Based on Improved Unit-Linking Pulse-Coupled Neural Network

Xiaoyan Du and Jun Zhong*
Author Affiliations
  • School of Electrical Engineering, Sichuan University, Chengdu, Sichuan 610065, China
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    References(13)

    [1] Tong W G. Research on methods for recognition and status detection of power line based on aerial images[D]. Beijing: North China Electric Power University, 65-73(2011).

    [4] Cui K B. Research on the key technologies in insulator defect detection based on image[D]. Beijing: North China Electric Power University, 34-49(2016).

    [6] Zhang J Y, Huang J D. An image segmentation algorithm research based on optimized PCNN. [C]//2018 11th International Conference on Intelligent Computation Technology and Automation (ICICTA), September 22-23, 2018, Changsha, China. New York: IEEE, 86-90(2018).

    [9] Ma Y D, Li L, Zhan K et al[M]. Pulse coupled neural network and digital image processing, 8-22(2008).

    [13] Sahoo P K, Soltani S. Wong A K C. A survey of thresholding techniques[J]. Computer Vision, Graphics, and Image Processing, 41, 233-260(1988).

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    Xiaoyan Du, Jun Zhong. Insulator Image Segmentation Based on Improved Unit-Linking Pulse-Coupled Neural Network[J]. Laser & Optoelectronics Progress, 2019, 56(15): 151005

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    Paper Information

    Category: Image Processing

    Received: Jan. 21, 2019

    Accepted: Mar. 6, 2019

    Published Online: Aug. 5, 2019

    The Author Email: Jun Zhong (zhongjun55@163.com)

    DOI:10.3788/LOP56.151005

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