高压电器2017，Vol.53Issue(8)：123-128,133,7.DOI:10.13296/j.1001-1609.hva.2017.08.021
基于C-V模型的电晕放电紫外成像分割及特征量研究
Ultraviolet Image Segmentation and Characteristic Quantities of Corona Discharge Based on C-V Model
李勋 1张宏钊 1胡元潮 2伊仁图太3
作者信息
- 1. 深圳供电局有限公司,深圳518000
- 2. 山东理工大学电气与电子工程学院,山东淄博255000
- 3. 深圳市同步银星电气有限公司,深圳518000
- 折叠
摘要
Abstract
When corona discharge happens in high voltage equipment due to insulation defect,it generates ultraviolet (UV)light.So UV imaging technology can be employed to detect the position and intensity of corona discharge and to assess the insulation defects.UV imager provides UV photon number to indicate the discharge intensity.However,the photon number becomes inaccurate due to environmental disturbance.In this paper,the C-V level sets model is adopted to segment UV image to extract discharge characteristic quantities for the purpose of more accurate description of discharge characteristics in high-voltage equipment.Firstly,C-V level sets model is introduced to segment UV image to extract discharge facula region and coordinates of the region boundary points.Then,according to the extracted region and coordinates to determine such characteristic parameters as facular area,perimeter,major axis,and minor axis for evaluating discharge state,and the correction method of interference factors is given.Practical examples of processing UV discharge images of a substation insulator demonstrate that this C-V model based method can accurately segment the discharge area without filtering preprocess and with high automation,and it is adaptable to UV images with various backgrounds.关键词
紫外成像/电晕放电/图像处理/C-V模型/特征量Key words
UV imaging/corona discharge/image processing/C-V model/characteristic quantity引用本文复制引用
李勋,张宏钊,胡元潮,伊仁图太..基于C-V模型的电晕放电紫外成像分割及特征量研究[J].高压电器,2017,53(8):123-128,133,7.
