An Algorithm for Self-Configuration of an Optical-Electronic Station Based on Data of a Binary Image

The article describes a technique for self-configuration of an optical-electronic station of an information and measuring system of a highly automated unmanned vehicle, which ensures operation in complex non-deterministic conditions by dynamically adjusting the parameters of the algorithms of the software embedded in the computing facilities of the system. Depending on the presence of fog, snow, rain, time of day, and the number of obstacles in the area inspected by the system, the functionality of the textural complexity of the scene is determined. Based on the data obtained, the configuration of the parameters of the digital image processing algorithms used to select objects of interest in the frame is changed.