Research on Machine Learning Natural Feature Matching Method Based on Statistical Classification

With the development of intelligent manufacturing, machine vision has become one of the indispensable technologies in many fields. The so-called machine learning is to acquire images through image sensors, analyze and process the images by computers, and then guide mechanical mechanisms to perform motion operations. As a branch of machine vision, feature matching technology is a key step of many image processing technologies. The matching degree usually directly determines the overall performance of the system. As an important component of artificial intelligence, machine learning has gradually been applied to various industries in recent years. Its intelligent characteristics make the application process achieve substantial results. This article is based on statistical classification methods, combined with the background of natural feature matching in intelligent machine learning and the main matching methods for analysis, and aims to lay the foundation for specific applications in the future.