A method to Solve the Influence of Local High Temperature on Automatic Focusing of Infrared Imaging

With the development of photoelectric imaging, people’s requirements for machine vision are getting more ang more intelligence. In order to facilitate use, automatic focusing has become a popular research field. People from different directions, different dimensions, and different methods are used to analyze, obtaining a clarity evaluation function, and then focusing control. When high-temperature objects such as huge fire pits, tail flame of airplanes appear in the scene, based on the traditional SOBEL operator to calculate the grayscale gradient of images for automatic optical focusing, the infrared image response will be very large, and the grayscale will become very high, leading to the failure of the SOBEL operator and the failure of focusing. This article successfully solves the above problem by introducing grayscale average assistance.