摘要
电晕放电对电力系统的危害日益引起人们的重视。检测电力设备电晕放电可有助于及时发现电力设备故障的类型和严重程度。利用双通道紫外检测系统对紫外日盲波段(240～280 nm)的电力设备的电晕放电进行检测,并研究了系统的图像融合。针对可见光和紫外光双光谱的图像融合问题,提出了适合于双通道紫外检测系统融合的IHS空间变换图像融合算法。通过实例验证了算法的正确性,并且与几种经典的融合算法比较,突出了所用算法的优点。得到的融合图像的放电点和背景图像均清晰、可识别。该方法对提高系统实时检测的可靠性有重要的理论意义和实用前景。
Harm of corona discharge to power system attracts more and more attention of people. Detecting the corona discharge of power equipment can discover the type and severity of the power equipment fault in time. Dual-channel ultraviolet detection system is used to detect the corona discharge of the power equipment in ul- traviolet sun-blind band （240 - 280 nm）, and the image fusion of system is studied. By studying image fusion algorithm of the visible and ultraviolet double spectrum, the main steps of image fusion are described, and the suitable IHS image fusion algorithm some classical fusion algorithms, the and the background image are clear. tection. for dual-channel ultraviolet detection system is proposed. Comparing with advantages of the algorithm are highlighted. Discharge point of fused image It has the important meaning to improve the reliability of the real-time detection.
出处
《测控技术》
CSCD
北大核心
2012年第10期16-19,24,共5页
Measurement & Control Technology
基金
国家科技部政府间科技合作项目(2009014)
上海理工大学教师创新能力建设项目(GDCK-T-103)
上海市高校教育高地建设项目(5209302001)
关键词
日盲紫外检测
双通道
图像融合
电晕放电
sun-blind ultraviolet detection
dual-channel
image fusion
corona discharge
