计算机应用与软件2016，Vol.33Issue(9)：167-170,189,5.DOI:10.3969/j.issn.1000-386x.2016.09.040
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
EXTRACTING QUANTISATION PARAMETERS OF DETECTION IMAGE USING ULTRAVIOLET IMAGING FOR DISCHARGE OF HIGH-VOLTAGE ELECTRICAL EQUIPMENTS BASED ON OPENCV
摘要
Abstract
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.关键词
紫外成像/OpenCV/数字图像处理/VC ++Key words
Ultraviolet imager/OpenCV/Digital image processing/VC ++分类
信息技术与安全科学引用本文复制引用
王胜辉,刘鹏,冯宏恩,廖一帆..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[J].计算机应用与软件,2016,33(9):167-170,189,5.基金项目
国家自然科学基金项目（51077054）；特高压工程技术（昆明、广州）国家工程实验室开放基金项目（NEL201508）。 （）
