基于 OpenCV 的高压电气设备放电紫外成像检测图像量化参数提取

摘要

日盲紫外成像是一种可视化的高压设备放电检测新方法。为能量化分析放电，利用 OpenCV 的图形处理功能，对紫外图像进行数字图像处理并提取放电区域相关参数。介绍数字图像处理的相应算法原理以及实现该算法的 OpenCV 中相关函数；利用OpenCV 对紫外检测放电图像进行图像灰度化、二值化、图像除噪及轮廓提取，实现了对放电光斑面积、周长等参数的提取。最后利用 VC ＋＋编写了相关程序，通过调用 OpenCV 函数实现了上述图像处理。该软件人机界面友好、使用方便。相关研究成果为今后电力系统中量化分析高压电气设备放电提供了一种新的方法。%Solar blind ultraviolet imaging is a new visualised detection method for discharge of high-voltage equipments.In order to analyse the discharge quantitatively,in this paper we make use of the graphics processing functions of OpenCV to carry out digital image processing on UV images and extract the related parameters of discharge area.The paper introduces the principle of corresponding algorithm of digital image processing and the related functions in OpenCV while realising the algorithm.OpenCV is used to process the UV detection discharge image including graying the image,binarisation,image denoising and contour extraction,thus the extraction of parameters such as discharge spot area and perimeter is achieved.At last,the paper compiles the related programme with VC ++and realises the above image processing by calling OpenCV function.This software has friendly human-machine interface and operates easily.The relevant study achievement of this paper provides a new method for power system to quantitatively analyse the high-voltage electrical equipment discharge.