现代电子技术2017，Vol.40Issue(1)：45-48,4.DOI:10.16652/j.issn.1004-373x.2017.01.012
基于OpenCV的紫外成像检测量化参数提取方法
Extraction method of quantization parameter for OpenCV-based ultraviolet imaging detection
袁晓辉 1孙林涛 2李博1
作者信息
- 1. 国网浙江省电力公司检修分公司 天一运维站，浙江 宁波 315000
- 2. 国网浙江省电力公司检修分公司，浙江 萧山 311232
- 折叠
摘要
Abstract
The parameter of ″photon quantity″ is used in the ultraviolet imaging method to character the discharge intensity, and can be read out in the instrument directly. This parameter exists the complex nonlinear relationship between the observation distance and gain setting of instrument,so it is difficult to perform the quantitative analysis for the discharge. To overcome the above problem,it is necessary to study a new quantization parameter to character the discharge characteristics. The output signal of the ultraviolet imager is shown as video or image form,which carries a large amount of information reflecting the discharging characteristics,such as the discharge position,discharge approximate shape,discharge point quantity and size of the discharge area. In the ultraviolet image,the discharge performance is presented as a few white areas(spot area). On this basis,a new ul?traviolet quantization parameter is proposed,in which the image processing method is used to extract the relevant image parame?ters to character the discharge process in the surface of the insulator.关键词
紫外成像/局部放电/量化提取/OpenCVKey words
ultraviolet imaging/partial discharge/quantitative extraction/OpenCV分类
信息技术与安全科学引用本文复制引用
袁晓辉,孙林涛,李博..基于OpenCV的紫外成像检测量化参数提取方法[J].现代电子技术,2017,40(1):45-48,4.
