基于相位对称性和MESR的道路交通标志检测方法研究

Abstract

本文提出了一种基于相位对称性的交通标志检测方法，对光照条件变化、尺度变化旋转等情况下都具有较好的适应性。该方法首先根据交通标志的颜色特征，对图像进行红蓝化阈值处理，区分交通标志和环境背景；对红蓝化图像做相位对称性计算处理，增强具有对称性特征的交通标志轮廓亮度；然后，通过形态学滤波和MSER(maximally stable extremal regions)特征检测，提取图像中的交通标志ROI候选区域。通过在德国交通标志数据集上的实验测试German Traffic Sign Detection Benchmark (GTSDB)，该方法对交通标志的检测率到达94%，对于光照条件变化、局部遮挡、旋转尺度变化等复杂情况具有更好的适应性。 The high variability of sign appearance in complex road environments has made the detection and classification of road signs a challenging problem in computer vision. In this paper, we propose a novel approach for the detection of traffic signs, which is well-suitable to different light conditions, change of scale and rotation. The detection process has four stages: image color enhancement, phase symmetry computation, morphological filter and maximally stable extremal regions (MSERs) detection phase. We combine the color information of traffic signs using color enhancement with the symmetry of its shape type, and performing phase symmetry computation to highlight the Region of interest (ROI). Finally, the candidate regions of traffic signs are detected by MSER. The proposed system attains a highly accuracy up to 94% on the German Traffic Sign Detection Benchmark (GTSDB). It has better adaptability to complex conditions such as illumination change, rotation scale change and so on.