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针对高压输电线路电晕检测及定位问题,设计了基于DM8148的双谱段视频融合电晕检测系统,实现了双路视频的采集、处理、融合、压缩和存储。采用时域递归滤波算法对日盲紫外图像进行去噪处理,利用基于小波变换自适应加权融合法将日盲紫外、可见光两路视频进行实时融合。实验结果表明融合图像具有较好的视觉效果,能够很好地将紫外、可见光检测图像融合,实现电晕放电点检测的准确定位,系统能满足电晕检测的需求。
Aiming at the problem of corona detection and location of high voltage transmission lines, a dual band video fusion corona detection system based on DM8148 is designed to realize the acquisition, processing, fusion, compression and storage of dual video. The time-domain recursive filtering algorithm is used to denoise the sun blind UV images and the real-time fusion of the solar-blind ultraviolet and visible light videos is realized by adaptive weighted fusion method based on wavelet transform. The experimental results show that the fused image has good visual effects, and can well combine the UV and visible light detection images to achieve accurate positioning of corona discharge point detection. The system can meet the needs of corona detection.