利用垂直消失点和方向滤波器对室外楼梯进行分割

Danilo Cáceres Hernández, K. Jo
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引用次数: 24

摘要

本文提出了一种室外楼梯的定位与识别检测方法。这个问题是解决自主爬楼梯导航问题的最基本的一步。自主系统必须能够识别在未知环境中描述楼梯的参数。首先,我们提出从边缘图像中提取对角线的最长段,以识别一组候选对角线段。这本身可以提供信息。基于消失点,我们定义了候选楼梯所在的区域。然后我们应用Gabor滤波器来检测水平线。最后,结合前两步,在图像中定义候选阶梯区域。在我们提出的方法中,在各种条件下使用了一组楼梯图像。结果,测试证明了它的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Outdoor stairway segmentation using vertical vanishing point and directional filter
In this paper we propose to detect the localization and recognition of outdoor stairway. This problem is the most fundamental step in solving the problem of autonomous stair climbing navigation. An autonomous system must be able to recognize parameters that can describe stairways in unknown environments. First, we proposed to extract the longest segments of diagonal lines from the edge image in order to identify a set of diagonal line segments candidate. This can provide information itself. Based on the vanishing point we defined the area where the stair candidate is located. We then applied the Gabor filter to detect the horizontal line. Finally, after combining the previous two steps, the algorithm defined the candidate stair area in the image. A set of stair images were used within a variety of conditions in our proposed method. As a result, testing was able to prove its effectiveness.
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