基于Qt和OpenCV的高压设备放电紫外图像量化参数提取  

Quantitative Parameter Extraction System of High Voltage Electrical Equipment Discharge UV Imaging Detection Based on Qt and OpenCV

作　　者：王胜辉[1] 姜婷玥 李楠[2] WANG Shenghui;JIANG Tingyue;LI Nan(North China Electric Power University,Baoding 071003,China;State Grid Banding Electric Power Supply Company,Baoding 071000,China)

机构地区：[1]华北电力大学,河北保定071003 [2]国网保定供电公司,河北保定071000

出　　处：《电瓷避雷器》2021年第5期186-192,共7页Insulators and Surge Arresters

基　　金：国家重点研发计划(编号:2018YFF01011900)。

摘　　要：目前利用紫外成像法检测高压电气设备放电的主要手段是从仪器中直接读取光子数,忽略了紫外及视频中的其他有效信息,如放电位置、放电形状、放电光斑个数及放电区域大小等。为便于紫外成像法在电气设备放电的定量化检测中的应用,实现紫外图像量化参数的自动提取,本研究基于跨平台窗口程序编写软件Qt,调用OpenCV图像及视频处理函数库,对紫外图像进行灰度化、二值化、降噪及轮廓跟踪提取,实现了对放电几何参数、坐标参数、轮廓和统计参数的提取。开发了高压电气设备放电紫外成像检测量化参数提取软件,其具有较友好的人机友好界面,运行稳定可靠。The main method to detect the discharge of high-voltage electrical equipment by UV imaging is to directly read the photon number from the instrument, ignoring other effective information in UV and video, such as discharge location, discharge shape, number of discharge spots and discharge area size etc. In order to facilitate the application of UV imaging method in the quantitative detection of electrical equipment discharge and realize the automatic extraction of UV image quantizing parameters, based on the cross platform window programming software Qt, combining OpenCV image and video processing function library, the author carried out grayscale, binary, noise reduction and contour tracking extraction of UV image, and realized the discharge geometric parameters, coordinate parameters and wheels extraction of profile and statistical parameters. A quantitative parameter extraction software for high voltage electrical equipment discharge UV imaging detection is developed, which has friendly human-computer interface and reliable operation.

关 键 词：放电 紫外成像法 OPENCV QT 数字图像处理 

分 类 号：TM855[电气工程—高电压与绝缘技术] TP391.41[自动化与计算机技术—计算机应用技术]