为了改善,想象在长带表面上处理一个表面察觉系统的速度和察觉精确,基于在长带表面上的察觉系统处理的图象数据和图象的特征的分析,处理系统和算法实现的方法的平行图象的设计被学习了。在长带表面上作为实现并且就察觉系统的特征而言的硬件站台由使用回答可编程的门数组(FPGA ) ,处理多使用 IP 核实现的系统的一幅平行图象被设计。根据平衡并行处理系统的能力的不同计算任务和负担,系统能设置节点的不同精明的数字遇见系统的需求并且节省硬件费用。
To improve image processing speed and detection precision of a surface detection system on a strip surface, based on the analysis of the characteristics of image data and image processing in detection system on the strip surface, the design of parallel image processing system and the methods of algorithm implementation have been studied. By using field programmable gate array(FPGA) as hardware platform of implementation and considering the characteristic of detection system on the strip surface, a parallel image processing system implemented by using multi IP kernel is designed. According to different computing tasks and the load balancing capability of parallel processing system, the system could set different calculating numbers of nodes to meet the system's demand and save the hardware cost.