The Study Of Linux-based Image Acquisition System

With the development of computer and information technology,people’s demand for intelligent life is getting higher and higher.All kinds of intelligent devices have been researched and developed.In the process of realizing the intelligent equipment,the image information collection and image data processing occupy a high proportion.It is of great significance to study the realization of the image information acquisition system to promote the popularization of the intelligent equipment.As one of the most successful operation systems in commercial applications,Linux has a very high market share in the field of embedded computing.In this paper,the image acquisition and processing process is studied based on the image acquisition system of Linux,and it is applied to the actual intelligent equipment to realize the collection and processing of image information.This paper first introduces the characteristics of the Linux operating system and the purpose and content of this paper.Then,it introduces the process scheduling theory of Linux and the mechanism of Linux memory management,gives the overall framework and compilation of QQ2440 USB and LCD drivers,and the LCD driver to run on the development board.The driving principle of Linux USB camera and the framework of Linux image acquisition system are mainly analyzed.Finally,based on the implementation and development of the Linux image acquisition system,the loading process of the USB camera driver is introduced,the detailed process of Video4 Linux and the method of displaying the miniigui transplanting process in LCD are presented,and the image acquisition is completed by cross compiling the application program.Combined with concrete examples,the technology of image compression is studied.By using DCT transform coding technology,the requirement of large size compression in the case of maintaining the image resolution is realized.The image acquisition system designed in this paper is based on the Linux system,and has good performance in image acquisition and compression.It can be effectively applied to the actual intelligent application scene,and provides data reference for further research on the image and video processing of intelligent equipment.