提出了一种基于颜色分割和形状分析的交通标志检测方法。
Based on color segment and shape analysis, a method of road traffic sign detection is proposed.
该方法节省了交通标志检测时间，提高了标志检测的准确度。
The method saves time for traffic sign detection and improves the accuracy of traffic sign detection.
本文对自然场景中道路交通标志检测方法进行了研究，总结出一套道路交通标志实时检测算法。
In this paper, traffic signs detection methods in the natural scenes are studied, and then a real-time traffic signs detection algorithm is summarized.
提出了一种检测和识别交通标志的方法。
A detection and recognition method for traffic signs are presented.
HOUGH变换圆检测法涉及复杂运算量，同时需要预先给定一些限制条件，对于交通标志的实时检测有一定局限性；
The HOUGH transform circle detection method involves complex computation, and needs to set some restrictions in advance, which have certain limitations for real-time traffic signs detection.
应用计算机视觉可以对交通标志进行自动识别，其关键在于如何检测交通标志和识别它们的内核形状。
The key to recognize them by computer vision is bow to detect them and identify their inner signs.
应用计算机视觉可以对交通标志进行自动识别，其关键在于如何检测交通标志和识别它们的内核形状。
The key to recognize them by computer vision is bow to detect them and identify their inner signs.
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