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高速图像采集系统的研究及FPGA实现
引用本文:何振琦,李光明,张慧琳,李颀.高速图像采集系统的研究及FPGA实现[J].计算机应用,2010,30(11):3094-3096.
作者姓名:何振琦  李光明  张慧琳  李颀
作者单位:1. 陕西科技大学2.
基金项目:陕西省科技厅工业攻关项目,西安市科学技术局工业发展项目
摘    要:针对图像采集速度慢和图像品质低等问题,设计并实现了一种基于NiosⅡ双核的高速图像采集系统。该系统利用现场可编程门阵列(FPGA)对图像传感器进行控制,并通过乒乓操作原理对图像进行采集。然后采用面积换速度的原则进行图像处理,在图像处理过程中采用 BP网络图像压缩的算法保存并传输给上位机。对采集数据进行仿真表明:与传统图像采集方法相比较,该系统的图像采集速度和图像采集质量都得到了极大的提高。

关 键 词:面积换速度    乒乓操作    BP神经网络    现场可编程门阵列
收稿时间:2010-05-18
修稿时间:2010-07-08

High-speed image acquisition system and FPGA implementation
HE Zhen-qi,LI Guang-ming,ZHANG Hui-lin,LI Qi.High-speed image acquisition system and FPGA implementation[J].journal of Computer Applications,2010,30(11):3094-3096.
Authors:HE Zhen-qi  LI Guang-ming  ZHANG Hui-lin  LI Qi
Abstract:To solve the problem of low speed and poor quality of image acquisition, a system of high-speed image acquisition based on NiosⅡ was introduced. First of all, Field-Programmable Gate Array (FPGA) was used for controlling image sensor, and the image was captured through ping-pang operation. Then, the principle of area exchange rate was used for image processing. After that, the data was kept and transmitted to the upper device by image compression algorithm of BP neural network. Through the simulation experiments from the acquired data, the simulation results demonstrate that this system provides image acquisition of higher speed and quality than traditional system.
Keywords:area exchange rate                                                                                                                        ping-pang operating                                                                                                                        BP neural network                                                                                                                        Field-Programmable Gate Array (FPGA)
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