基于双CPU的实时图像采集系统

Research of real time image acquisition system based on dual CPU

研讨基于双CPU技术的光电图像识别系统,该系统主要由目标图像采集与处理模块、光电相关联合变换模块以及自动识别模块组成。采用TMS320C6416与FPGA完成目标图像的采集与处理,采用ARM9处理器S3C2440完成对相关功率谱的采集与目标图像识别。与传统光电图像识别系统相比,该系统实时性和精度更高,并可实现智能化和网络化。

This paper designed a photoelectric image recognition system using dual CPU model, the system consists of image acquisition and processing module, photoelectric joint transform correlation module and automatic identification module. TMS320C6416 and FPGA are used to collect and process the target image, and the ARM9 processor S3C2440 is used to acquire the correlation power spectrum and recognize the target image. Compared with the traditional photoelectric image recognition system, the system has higher real-time and accuracy, and can realize intelligence and network.