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A Preprocessing Method for Automatic Break Lines Detection

机译:一种用于自动断线检测的预处理方法

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We present a preprocessing method for automatic break line detection. Our method is given a set of edges (break lines and non-break lines) we eliminate the non-break line edges leaving only those with higher probability of being break lines. Our method is based on fusing IR images and LiDAR cloud points. In the first step, we apply the Canny edge detection algorithm to the IR images (producing a superset of break lines). Then we project the LiDAR points onto a 2-D plane, ignoring the set of points that are greater than a selected threshold (different elevation thresholds have been selected), which allows the footprints of some elevated structures to appear clearly in the set of projected points. Those structures that appear in both LiDAR points and IR images are used as references for registration of LiDAR cloud points with the IR images. After registration, we eliminate all the edges that appear in flat areas, which is achieved by applying a 3D filter to the LiDAR points.
机译:我们提出了一种用于自动断裂线路检测的预处理方法。我们的方法被给出了一组边缘(断线和非断线),我们消除了仅留下具有更高概率的断裂线的边缘边缘。我们的方法基于融合IR图像和LIDAR云点。在第一步中,我们将Canny Edge检测算法应用于IR图像(产生断裂线的超集)。然后我们将LIDAR点投影到2-D平面上,忽略大于所选阈值的一组点(已经选择了不同的高程阈值),这允许一些升高的结构的占地面积在预定的集合中清楚地看出清楚要点。在LIDAR点和IR图像中出现的那些结构用作利用IR图像的LIDAR云点登记的参考。在注册之后,我们消除了在平坦区域中出现的所有边缘,这是通过将3D滤波器应用于LIDAR点来实现的。

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