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Volume 45 Issue 2
Feb.  2023
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ZHANG Qiuming, LI Yunhong, LUO Xuemin, QU Haitao, SU Xueping, REN Jie, ZHOU Xiaoji. Electric Equipment Infrared Image Segmentation Method Based on Improved Chan-Vese Model[J]. Infrared Technology , 2023, 45(2): 129-136.
Citation: ZHANG Qiuming, LI Yunhong, LUO Xuemin, QU Haitao, SU Xueping, REN Jie, ZHOU Xiaoji. Electric Equipment Infrared Image Segmentation Method Based on Improved Chan-Vese Model[J]. Infrared Technology , 2023, 45(2): 129-136.
shu

Electric Equipment Infrared Image Segmentation Method Based on Improved Chan-Vese Model

  • 1.

    School of Electronics and Information, Xi'an Polytechnic University, Xi'an 710048, China

  • 2.

    Information Communication Company of Sichuan State Grid, Chengdu 610000, China

  • 3.

    Zaozhuang University, Zaozhaung 277160, China

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  • Received Date: October 06, 2021
  • Revised Date: November 09, 2021
    Graphical Abstract
    • Abstract
  • To address the problems of poor infrared image segmentation and slow speed in the online monitoring system of power equipment, an improved infrared image segmentation algorithm based on the Chan-Vese model is proposed. First, by introducing the edge energy term, the local control ability of the model is enhanced and the contour shift is effectively suppressed. Second, a radial basis function is used to replace the traditional length regularization term, which simplifies the calculation. Subsequently, the initialization process is omitted by introducing internal energy items, which reduces the running time of the algorithm. After the experimental verification, the average DSC was 0.9808, the average value was 0.025, and the algorithm running time was 66.8% lower than the overall average of the other models. The improved Chan-Vese model segmentation algorithms DSC and RSE are better than the GAC-CV, CV-RSF, regional level set, and multiphase-CV model segmentation algorithms.
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    • References (21)
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