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RESEARCH ON UNSTRUCTURED ROAD DETECTION ALGORITHM BASED ON IMPROVED MORPHOLOGICAL OPERATIONS

机译:基于改进形态运算的非结构化道路检测算法研究

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A new method with improved morphological operations on unstructured road is introduced in this paper. Mathematical morphology erosion and dilation operations are usually used so that the road and background are separated more clearly to acquire obvious road boundaries. How to use these operations reasonable will directly affect the subsequent detection. Firstly a binary image from an original image is segmented into the road and non-road regions by using 2-dimentional Otsu adaptive threshold segmentation algorithm. In terms of the feature of unstructured road, erosion operation is used twice and dilation operation is used once in this paper. Then, LOG operator is applied to detect edge. Finally, Hough transform is adopted to detect and mark the road boundaries. Experiments indicate that our method not only removes the unfavorable elements of non-road areas, but also has the advantages of fast operation and high accuracy.
机译:本文介绍了一种新方法,以改善非结构化道路的形态运作。通常使用数学形态学侵蚀和扩张操作,以便更清楚地分离道路和背景以获得明显的道路边界。如何使用这些操作合理将直接影响随后的检测。首先,通过使用2维OTSU自适应阈值分割算法将来自原始图像的二进制图像分段为道路和非公路区域。就非结构化道路的特征而言,使用两次侵蚀操作,并在本文中使用了扩张操作。然后,应用日志运算符以检测边缘。最后,采用了Hough变换来检测和标记道路边界。实验表明,我们的方法不仅消除了非公路区域的不利元素,而且还具有快速运行和高精度的优点。

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