An Image Recognition Method Based on Correct Parking of Intelligent Medical Vehicles

Abstract

This paper introduces a circular object recognition method based on image processing technology. With the continuous development of robot technology, there is an increasing demand for efficient and accurate image processing technology in the fields of robot vision navigation and automated production. Therefore, this paper aims to propose an image processing method that can effectively recognize circular targets, and provide technical support for applications in the fields of robot vision navigation and automated production. The method first reads the image and converts it to a binary image, then constructs and closes the graph structure elements and fills the holes. By calculating the area and perimeter of the circular target, the method of threshold matching is used to determine the circular target. In this paper, the red and green circular targets are taken as examples to identify them respectively and judge whether the recognition is successful through logical operations. The experimental results show that the method can effectively identify circular targets under different clearing conditions, and has high accuracy and robustness. This technology can be applied in the fields of robot visual navigation, automatic production, etc., and provides technical support for realizing intelligent and efficient production and service. At the same time, the research method of this paper also provides reference and references for the solution of other object recognition problems.