基于改进区域生长和小波变换的非结构化道路检测

针对在复杂场景的非结构化道路中，由于众多的环境干扰因素从而不能准确检测车道线的问题，提出了一种基于改进区域生长法和小波变换相结合的非结构化道路检测算法。根据大多数情况下道路区域在车载摄像头的正下前方及道路区域与道路两旁背景灰度值的一定差异，来有效地选取区域生长的种子点及生长原则进行区域生长道路初分割。同时结合基于小波变换的边缘检测来修正由于初分割道路受复杂环境导致道路检测不准确的情况。实验结果表明，该算法能够较准确地检测出受光照等因素影响的道路区域，且具有较高的准确性。

Unstructured Road Detection Based On Improved Region Growth And Wavelet Transform

Aiming at the problem that lane lines cannot be accurately detected due to many environmental interference factors in complex scenes of unstructured roads, this paper proposes an unstructured road detection algorithm based on the combination of improved region growing method and wavelet transform. In most cases, the road area is directly in front of the vehicle camera and the difference between the road area and the background gray value on both sides of the road is used to effectively select the seed points and growth principles of the area growth to perform the initial segmentation of the area growth road. At the same time, the edge detection based on wavelet transform is used to correct the inaccuracy of road detection due to the complex environment of the initially segmented road. The experimental results show that the algorithm can more accurately detect the road area affected by factors such as illumination, and has a high accuracy.