Application of Content-Based Retrieval Technology in Image Archive Management

In view of the limitations of the traditional Krystal algorithm in the application of image file management, a file management system design scheme based on content retrieval technology was proposed. Firstly, the influencing factors is accurately located by identifying the foraging theory, and the indicators is reasonably divided to reduce interference, and the content retrieval technology is used to construct the design scheme of the file management system. Experimental results show that under certain evaluation criteria, the proposed scheme is superior to the traditional Krystal algorithm in terms of the design accuracy of the file management system and the processing time of influencing factors, and has obvious advantages. The design of the file management system plays an extremely important role in intelligent imaging, which can accurately predict and optimize the growth characteristics and product generation of intelligent imaging. However, the traditional Krystal algorithm has certain limitations in solving the simulation problem of file management, especially when dealing with complex problems. In this paper, this paper proposes a design scheme of file management system based on content-based retrieval technology to better solve this problem. In this scheme, the influencing factors is accurately located by identifying the foraging theory, so as to determine the division of indicators, and the content retrieval technology is used to construct the scheme. Experimental results show that under certain evaluation criteria, the accuracy and speed of the scheme is significantly improved for different problems, and it has better performance. Therefore, the simulation scheme of content-based retrieval technology in the application of image file management can better solve the limitations of the traditional Krystal algorithm and improve the simulation accuracy and efficiency.