高压电力设备红外图像的边缘检测

红外图像的边缘检测是红外图像目标识别以及进一步红外故障诊断的关键环节.文中讨论在高压电力设备故障红外诊断系统中对红外图像的预处理过程,并通过几种边缘检测算子对噪声的抑制效果和边缘定位精度的对比分析,选用效果最优的边缘检测算子来实现红外图像的边缘检测.通过实例,验证了图像预处理和边缘检测方法的有效性.

Infrared image edge detection of high-voltage power equipment

Infrared image edge detection is the key step of infrared image object identification and fault diagnosis. In this paper, the infrared image preprocess in the high-voltage power equipment fault infrared diagnosis system was discussed. Then, by analyzing the restriction effect on noise and the edge location precision of several common edge detection operators, the suitable edge detection operator was employed to achieve the image edge profile detection. Through an application, the methods of the image preprocess and the edge detection in this paper are proved to be valid.