放电日盲紫外成像检测图像参数提取方法研究  

Study on parameters extraction method of discharge based on solar-blind ultraviolet imaging detection

作　　者：王胜辉[1] 李楠[2] 廖鹏[3] 

机构地区：[1]华北电力大学河北省输变电设备安全防御重点实验室,河北保定071003 [2]保定供电公司,河北保定071000 [3]国网青海省电力公司电力科学研究院,青海西宁810000

出　　处：《华北电力大学学报（自然科学版）》2013年第6期40-45,共6页Journal of North China Electric Power University：Natural Science Edition

基　　金：国家自然科学基金资助项目(51077054);河北省自然科学基金资助项目(E2012502055);中央高校基本科研业务费专项资金资助项目(12QN36)

摘　　要：日盲紫外成像是一种有效的放电检测方法,为定量描述放电特性,提出了采用数字图像处理和视频分析算法提取图像参数用于表征放电特性的新方法。通过对紫外图像进行阈值分割、形态学滤波以及小区域消除算法提取了放电区域,采用多区域边界跟踪算法得到了各放电区域的边界点坐标,定义了光斑面积、周长等参数实现了放电强度的量化。采用radon算法中的平行线投影算法,获得了沿高压设备表面的放电强度空间分布曲线。Solarblind ultraviolet （UV） imaging is an effective surface discharge detection method, for the quantitative description of discharge characteristics, a new method is presented in this paper, which is based on the video analysis and digital image processing. The discharge regions are extracted with the method of image threshold segmentation, morphological filtering and small region elimination algorithm. Then the coordinates of the boundary points of each dis charge region through the multizone boundary tracking algorithm are obtained. The parameters of facular area, perime ter and other parameters are defined in this paper, which realized the quantification of discharge intensity. The radon parallel line projection algorithm is applied to get the discharge intensity distribution curves along the surface of high voltage equipment in this paper.

关 键 词：放电 日盲紫外成像 数字图像处理 参数提取 

分 类 号：TM855[电气工程—高电压与绝缘技术]