Research on infrared image enhancement and segmentation of power equipment based on partial differential equation

With the development of science and technology, image processing is applied more and more widely. In power system, a large number of power equipment always work in harsh environment, which easily leads to equipment damage, not only affects the normal operation of equipment, but also may lead to accidents. In order to ensure the normal operation of power equipment, it is necessary to monitor the operation status of power equipment in real time. The key of real-time monitoring is how to analyze the quality of infrared image. In order to improve the quality of infrared image of power equipment, this paper analyses the traditional image processing technology, mainly using partial differential equation to optimize and improve the image enhancement algorithm and segmentation method, so as to improve the quality of infrared image of power equipment. Firstly, in the aspect of infrared image enhancement, partial differential equation is used to improve the shortcomings of the traditional contrast enhancement method, enhance the texture details of the image while effectively improving the brightness visual effect of the image; then, in image segmentation, the stopping function of GAC model of classical partial differential equation is improved to improve the effect of infrared image segmentation of power equipment. Through the analysis of simulation experiments, this paper improves the traditional method by using partial differential equation in image enhancement and image segmentation, which can effectively improve the quality and segmentation effect of infrared image of power equipment.