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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    Figures & Tables(4)
    Segmentation results of insulator images under different weather conditions. (a) Original images; (b) gray images; (c) segmentation results of MIEP; (d) segmentation results of algorithm in Ref. [11]; (e) segmentation results of algorithm in Ref. [4]; (f) segmentation results of proposed method
    Segmentation results of insulator images under different SNRs. (a) Gray images after adding noise; (b) segmentation results of MIEP; (c) segmentation results of algorithm in Ref. [11]; (d) segmentation results of algorithm in Ref. [4]; (e) segmentation results of proposed method
    Comprehensive evaluation results under different SNRs
    • Table 1. Comparison of segmentation performance of four methods under different weather conditions

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      Table 1. Comparison of segmentation performance of four methods under different weather conditions

      WeatherMethodUMSMCMComprehensive evaluationRuntime
      SunnyMIEP0.92160.70210.66690.79431.882485
      Ref.[11]0.97370.91180.94650.94401.667535
      Ref.[4]0.67910.72860.76120.72301.810260
      Proposed0.97890.95820.99430.98661.772112
      Sunset glowMIEP0.62800.49010.41070.50961.735032
      Ref.[11]0.90870.61850.73460.75391.431268
      Ref.[4]0.91380.70280.79470.80381.887225
      Proposed0.97910.96570.96410.96961.681153
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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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