色盲个体的交通灯检测

Jamal Al-Nabulsi, A. Mesleh, A. Yunis
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引用次数: 6

摘要

本文提出了一种针对色盲个体的红绿灯颜色检测算法,该算法利用LabVIEW中图像处理工具箱中相关的图像处理技术,帮助色盲个体识别红绿灯的颜色。它使用一个固定的移动摄像头来捕捉在约旦和科威特不同道路和街道上拍摄的红绿灯图像。它通过将候选交通灯与一些内部收集的交通灯模板进行比较来检测交通灯,比较基于相关性。这些模板代表了约旦和科威特22种不同形状的交通灯。最后,该算法提取出绿色和红色平面,并对其颜色进行识别。实验结果表明了该算法在不同情况下识别交通灯颜色的准确性。因此,我们提出的算法对色盲驾驶员很有帮助。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Traffic light detection for colorblind individuals
This paper proposed an algorithm that detects traffic light colors for colorblind individuals, the proposed algorithm employs image processing techniques associated in image processing toolbox in LabVIEW to help colorblind individuals in identifying the colors of traffic lights. It uses a fixed mobile camera to capture traffic light images taken in different roads and streets in Jordan and Kuwait. It detects traffic lights by comparing the candidate traffic light with some in-house collected traffic light templates, comparison is based on correlation. The templates represent 22 different shapes of traffic lights in Jordan and Kuwait. Finally, the algorithm extracts the green and the red planes and recognizes their colors. Experimental results reveal the accuracy of proposed algorithm in identifying the colors of traffic lights in different cases and circumstances. Hence, our proposed algorithm is helpful for colorblind drivers.
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