Unstructured road detection based on contour selection

Wang Xiang, Zhang Juan, Fang Zhijun
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引用次数: 1

Abstract

In view of the unstructured road, a linear path can be detected easily, but complicated road cannot be detected easily. We put forward the unstructured road detection method based on contour selection. Firstly, the canny edge detector is adopted to detect all edges in the picture. The expansion of processing is used to repair broken line. Secondly, we use the Hough transform to detect linear and contour detection function detecting edge profile. Then we match straight lines and contour. Finally, the vote for the best results of coincidence degree is the road on the edge of the contour. The experiment result proves that the road detection under complicated background environment has the better effectiveness than the traditional linear path detection method.
基于等高线选择的非结构化道路检测
对于非结构化道路,线性路径容易被检测到,而复杂道路不易被检测到。提出了基于等高线选择的非结构化道路检测方法。首先,采用canny边缘检测器检测图像中的所有边缘;扩展加工用于修复断线。其次,利用Hough变换对边缘轮廓进行线性检测和轮廓检测。然后我们匹配直线和等高线。最后,对符合程度最好的结果进行投票,选择等高线边缘的道路。实验结果表明,复杂背景环境下的道路检测比传统的线性路径检测方法具有更好的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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