Visible Light Image RGB Color Analysis of Surface Discharge and Its Application

CHEN Ruimin; WU Ao; TAN Dan; YE Qizheng; LI Xingwang; WANG Zengbin

doi:10.13296/j.1001-1609.hva.2016.10.007

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Visible Light Image RGB Color Analysis of Surface Discharge and Its Application

更新时间：2025-04-26

- Visible Light Image RGB Color Analysis of Surface Discharge and Its Application
- High VoltageApparatus Vol. 52, Issue 10, Pages: 38-42+48(2016)
- 作者机构：
  
  1. 广东电网公司电力科学研究院
  2. 华中科技大学电气与电子工程学院
- 作者简介：
- 基金信息：
- DOI：10.13296/j.1001-1609.hva.2016.10.007
  CLC： TP391.41
- Published：2016
- 稿件说明：
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[1]陈锐民,吴骜,谭丹,叶齐政,李兴旺,王增彬.沿面放电的可见光图像RGB颜色分析及应用[J].高压电器,2016,52(10):38-42+48.

CHEN Ruimin, WU Ao, TAN Dan, et al. Visible Light Image RGB Color Analysis of Surface Discharge and Its Application[J]. High voltageapparatus, 2016, 52(10): 38-42+48.
[1]陈锐民,吴骜,谭丹,叶齐政,李兴旺,王增彬.沿面放电的可见光图像RGB颜色分析及应用[J].高压电器,2016,52(10):38-42+48. DOI： 10.13296/j.1001-1609.hva.2016.10.007.

CHEN Ruimin, WU Ao, TAN Dan, et al. Visible Light Image RGB Color Analysis of Surface Discharge and Its Application[J]. High voltageapparatus, 2016, 52(10): 38-42+48. DOI： 10.13296/j.1001-1609.hva.2016.10.007.

摘要

针对放电可见光图像的背景干扰影响图像的空间分布问题

在对可见光电晕图像的灰度分析的基础上

提出了一种基于RGB颜色系统提取沿面放电有效放电区域的新方法。对沿面放电可见光图像的红（R）、绿（G）、蓝（B）三分量的空间分布特征研究发现:G分量所占比例低

主要反映放电主干部分

R、B分量能很好地反映放电的空间结构

分布区域较为相似。然后利用R+B的合成分量对放电图像进行了降噪处理。研究结果表明

此方法优于通过设定单一灰度级作为背景阈值的方法

为后期定量研究沿面放电图像提供了一套高效可行的方法。

Abstract

Aiming at the problem of the background light interference on the optical image of discharge

a digital image processing method presented in our previously paper is used to develop a new method to extract the effective discharge area

which is based on red

green and blue（RGB）color system. Firstly

the spatial distribution of each color component（R

B）is analyzed. Component G takes up low proportion

which reflects the main part of the discharge. Components R and B can reflect the spatial distribution of the discharge

and they have similar distribution area. Then the synthetic components（R +B）are used to reduce the noise of discharge image. This method is better than the method of setting a single gray level as a threshold value of background and can be a feasible and efficient method for the further study of the surface discharge.

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