Ultraviolet Image Parameters Extraction of Insulation Surface Discharge Based on Improved C-V Model

作者：Wang, Fenghua^*; Liu, Guojian; Zhang, Hongzhao; Huang, Ronghui; Liu, Yadong

来源：High Voltage Engineering, 2018, 44(8): 2525-2532.

DOI：10.13336/j.1003-6520.hve.20180731012

• C-v models
• Edge detection algorithms
• External insulations
• Facular area
• Level set functions
• Segmentation results
• Ultraviolet imaging
• UV imaging

To segment the discharge area of insulator in ultraviolet (UV) image produced by ultraviolet imaging technology automatically and accurately, we proposed an improved method based on an improved Chan-Vese (C-V) model to analyze the discharge area, where the existing C-V model is improved by adding a penalized energy term, displacing the Dirac function with the norm of level set function gradient, and simplifying amount of parameters. Then, the method was used to obtain the discharge spot of the ultraviolet image of the insulator surface, and the UV image segmentation results based on the conventional edge detection algorithm and mathematical morphology were also given. The research results indicate that the proposed method can segment the discharge area faster and more accurately with stronger anti-interference ability. The accuracy of the improved C-V model is 5% higher than that of current methods, and the dependency on key parameters is lower. The proposed C-V model is excellent for segmentation of ultraviolet image parameters. The research results can provide an important reference for the effective detection of the insulation for the transmission line.

• 出版日期2018
• 单位上海交通大学; 上海大学