基于FPGA的智能车路径图像识别的预处理设计

Pretreatment Design of Intelligent Vehicle's Path Recognition Based on FPGA

本文以智能车辆视觉导航系统为研究平台,以车载数字式CMOS摄像头获取的实时路径图像信号为信号源,进行预处理。处理方法包括一种快速中值滤波算法,以及基于自适应阈值的二值化图像分割技术。采用Altera公司的Cyclone II系列FPGA芯片EP2C8Q208C8,在Quatus II开发环境中给出硬件设计和功能仿真。实验结果表明,该预处理能有效减少噪声,并能实现图像的二值化。

This paper is based on the Visual Navigation System of Intelligent Vehicle.The solutions include a kind of fast algorithm of Median-Filter,and the technique of image BW segmentation based on self-adaptive threshold.It adopts Cyclone II FPGA chip EP2C8Q208C8,which is produced by the company of Altera.The design of the hardware system and the functional simulation is given in Quatus II.The results of the experiments show that this pretreatment can reduce noise efficiently,and achieve BW images.