一种视觉辅助车辆驾驶系统:寻牌系统的建立

Fann Jeun-Haii, L. Gang
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引用次数: 3

摘要

本文的目的是建立一个具有颜色特征的道路标志图像的自动提取与分类系统。采用中值滤波技术降低噪声,提高颜色特性的稳定性。根据道路标志的色彩特征,建立了四种启发式决策规则:色调范围、RGB强度的固定顺序、RGB强度的比例和RGB强度的范围。实验结果表明,正确率达到93.3%。该系统在复杂真实公路环境图像的道路标志识别中取得了成功。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A vision-aided vehicle driving system: establishment of a sign finder system
The purpose of this article is to build an automatic extraction and classification system for road sign images with color features. Median filtering technique is used to decrease the noises and increase the stability of the color characteristics. According to the color features of road signs, we establish four heuristic decision rules: the range of the hue, the fixed order of the intensity of RGB, the ratio of the intensity of RGB, and the range of the intensity of RGB. Experimental results have achieved a 93.3% correct rate. The system is proved to be successful in recognising the road signs for complex real highway environmental images.<>
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