基于红外图像识别的输电线路故障诊断

The Fault Diagnosis of Transmission Line Based on the Infrared Image Recognition

红外图像中输电线路故障的准确识别一直是困扰检测人员的难题。本文借助红外成像仪获取输电线路温升变化图像,从分析输电线路红外图像的特征入手,通过比较各颜色空间的优缺点,应用HSI颜色空间转换获得图像边缘信息,借助中值滤波保持边缘信息的优势,利用改进的中值滤波排除干扰,采用梯度法提取其中的温度最高区域,从而迅速准确地诊断输电线路温升故障。以输电线路的红外图像为例,验证了HSI空间梯度法识别温度最高区域的可行性和有效性。

The accurate recognition of transmission line faults by infrared image is a hard problem for operators.In this paper,the temperature change images for transmission line are obtained by infrared imager,and its characteristics are analyzed.Through the comparing of each color space and the aid of edge information obtained from the transform of HSI color space,the temperature faults of transmission line are diagnosed fast and correctly based on the disturbance being eliminated by median filtering that can contain edge information and the highest temperature area being recognized by using of gradient method.The feasibility and effectiveness of the highest temperature area recognized by HSI space gradient method are verified by analyzing infrared image of transmission line.