GIS Temperature-Rise Infrared Image De-Interference and De-Noise Methods

Infrared temperature measurement technology is widely used in GIS temperature rise monitoring. However, the actual collected infrared images have interference and noise, which affect the subsequent infrared feature extraction and overheating fault diagnosis. Therefore, it is necessary to de-interference and de-noise the infrared images first. In this paper, the GIS infrared RGB images actually collected are firstly converted to grayscale images and the grayscale transformation is performed. Then the image segmentation and image completion methods are used to remove interference in the infrared images. And different de-noising methods are studied and implemented. Finally, the processing procedure and content are applied to the infrared RGB image.