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A morphology-based algorithm for label location and identification

机译:基于形态学的标签定位与识别算法

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Label location and recognition has become a crucial task for today's Unmanned Aerial Vehicles. We proposed a morphology-based algorithm to locate and recognize labels. This algorithm is insensitive to scaling and rotation, and able to work at low resolution. The label positioning and recognition strategy we designed is divided into two steps. First, at the altitude of 10m or so, we apply dilation processing and edge detection on the images sent back by UAV. Then combining the current heading information of the vehicle, we are able to give the topology map of all labels. After that the vehicle is lowered to about 5m and we apply erosion processing on the returned image and then recognize each label using image measurement and image analysis methods. The validity of this algorithm is well verified at ARCC 2004.
机译:标签的位置和识别已成为当今无人机的关键任务。我们提出了一种基于形态学的算法来定位和识别标签。该算法对缩放和旋转不敏感,并且能够以低分辨率工作。我们设计的标签定位和识别策略分为两个步骤。首先,在10m左右的高度,我们对无人机发送回的图像进行膨胀处理和边缘检测。然后结合车辆的当前航向信息,我们可以给出所有标签的拓扑图。之后,将车辆降低至约5m,然后对返回的图像进行腐蚀处理,然后使用图像测量和图像分析方法识别每个标签。该算法的有效性已在ARCC 2004上得到了很好的验证。

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