摘要
本文首先用循环迭代阈值分割的方法对道路标识线图像进行二值化处理,然后用数学形态学滤波的图像处理方法对二值化图像进行去噪处理。验证结果表明,本文所提算法原理简单,计算量小,有效提高了道路图像地识别速度,从而为后续的智能车辆导航参数的提取提供了有力保证,以及为实现智能车辆视觉导航的实时性、鲁棒性和抗噪声能力奠定了基础。
In this article, firstly, lane mark image is processed by optimal threshold method in this article and got binarization image. Secondly, binarization image is eliminated the noise by mathematical morphology filter method. Results of research show that the method in the article has not only advantage of simple principle and less calculation but also effectively improves the speed of road image identified, which provides forceful guarantee for Parametric drawing of follow-up intelligent vehicle navigation and establishing the basis for reliability, robustness and anti-noise ability of intelligent vehicle visual navigation.
出处
《微计算机信息》
2009年第15期297-299,共3页
Control & Automation
