A RealTime Image Recognition Method of Power AI Based on Quadtree Algorithm

Abstract

Power artificial intelligence Realtime image recognition method is a new technology that can recognize images in real time. It is very useful in safety and traffic control, intelligent information systems and so on. This technology has been widely used in many fields, such as financial industry, medical field, traffic control and so on. This paper presents an artificial intelligence realtime image recognition method based on quadtree algorithm, which involves the field of image recognition technology. It includes separating the recognized image or the segmented picture according to the quadtree segmentation method to obtain several current separated pictures; Traverse all current separated pictures to match the best matching block for the current separated picture; If the match is satisfied, the current separator block is marked R1 and the corresponding matching block is a domain block and marked D1. The quadtree method is used to cut the image, which can ensure the image quality and reduce the number of blocks at the same time; Before segmenting the image, set the maximum and minimum depth of the quadtree and the allowable error, and use the quartering method to segment the image; Then find the best matching block. If it is found, it will not continue to be divided. If it is not found, it will continue to be subdivided. This process continues until the set maximum depth; It saves a lot of computation, improves efficiency, and accelerates the speed and accuracy of image segmentation.