Application of image processing technology in gas pipeline inner wall damage detection

In order to detect the damage of gas pipeline, this paper uses image processing technology as a research tool, and proposes an image processing system for pipeline damage detection. Because the environment of the gas pipeline may be dark, humid, even sand and other complex environmental factors, as well as the noise generated by the electronic devices themselves, resulting in the quality of the image transmitted from the front end is greatly reduced, so this paper first uses image processing technology to denoise the image. In order to distinguish the damaged and intact inner wall of the pipeline and facilitate the measurement of the target area, the image segmentation processing is also needed for the image. The purpose is to provide high-quality and easy to process images for the follow-up work. Finally, the image features of gas pipeline inner wall damage can be extracted to complete the image processing.