摘要
为增强变电站高压电气设备易损性可视化效果,研究了基于视频叠加算法的变电站高压电气设备易损性可视化监控。利用改进的α混合算法结合视频背景色的反走样,叠加可见光视频以及红外视频,选取引导滤波器将视频帧分为基础层和细节层,利用改进的自适应加权二维主成分分析(W2DPCA)融合基础层,选取细节层作为最终细节层,获取最终融合帧,实现变电站高压电气设备易损性可视化监控。实验结果表明,采用该方法所获取监控画面可体现丰富的变电站高压电气设备细节,纹理色彩以及设备边缘对比度有所强化,便于准确判断变电站高压电气设备易损性。
In order to enhance the visual effect of vulnerability of high voltage electrical equipment in substation,visual monitoring of vulnerability of high voltage electrical equipment in substation based on video superposition algorithm is studied.Using improvedαthe hybrid algorithm combines the anti aliasing of video background color,superimposes visible video and infrared video,selects the pilot filter to divide the video frame into the base layer and the detail layer,uses the improved adaptive weighted two-dimensional principal component analysis(W2DPCA)to fuse the base layer,and selects the detail layer as the final detail layer to obtain the final fusion frame,Visual monitoring of vulnerability of high voltage electrical equipment in substation is realized.The experimental results show that the monitoring images obtained by this method can reflect rich details of substation high-voltage electrical equipment,and the texture color and edge contrast of equipment are enhanced,which is convenient to accurately judge the vulnerability of substation high-voltage electrical equipment.
作者
付占威
FU Zhan-wei(Inner Mongolia EHV Power Supply Bureau,Hohhot,Inner Mongolia 010080,China)
出处
《计算技术与自动化》
2022年第1期17-22,共6页
Computing Technology and Automation
关键词
视频叠加算法
变电站
高压
电气设备
易损性
可视化监控
video overlay algorithm
substation
high voltage
electrical equipment
vulnerability
visual monitoring
