Abstract: The fault of power equipment may cause large-scale power outages in substations, bringing out huge losses. According to the characteristics of heat generation during operation of power equipment, a power equipment segmentation method based on infrared and visible images registration is proposed to facilitate fault detection. Firstly, the structured random forest is used to detect the edge of infrared and visible images of the power equipment, and a multi-scale Gaussian pyramid of the visible edge image is constructed. Then the infrared and visible images are registered with the normalized mutual information. Finally, the Otsu threshold segmentation result of the infrared image is combined with the registration result to segment the power equipment in the visible image. The experimental results show that the proposed algorithm can register and segment accurately, and it has certain practicability.

Key words: image segmentation, power equipment, image registration, normalized mutual information, edge, structured random forest, Gaussian pyramid