Computer Vision Imaging Based on Artificial Intelligence

Abstract

In order to study artificial intelligence-based computer vision imaging, computer technology was used to efficiently and accurately obtain relevant information from environmental images or videos. Things and phenomena in the objective world were analyzed, judged, and decided. Based on biological vision and physical models, the basic methods and approaches of computer vision were explored. The contents of evolutionary calculations, pattern recognition, biological vision, and surface defects detection of slabs were studied. A computer vision system with high adaptability, high accuracy, and rapid response was developed. The results showed that the evolutionary calculation methods were diverse in form and versatile. Therefore, it can be applied in many aspects of computer vision, and its performance is very good.