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Fast Edge detection based on mathematical morphology for straight line paths of vision navigation in AGV system

机译:基于数学形态的快速边缘检测在AGV系统中的视觉导航直线路径

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Fast processing and recognition of image have an important influence on the real-time performance of AGV by vision navigation. The fast method of edge detection based on mathematical morphology for straight line path is proposed in this paper. Binary processing is implemented firstly for path image. Then the edge detection using morphological gradient can be executed directly, and image filtering and recognition of path edge can be realized simultaneously. Kinematics model of AGV is built and the shape of structure element in morphology processing can be adjusted in real time. The results of experiment show that recognition time of straight line path is shorten by this image processing method.
机译:快速处理和识别图像对视觉导航的AGV实时性能具有重要影响。本文提出了基于直线路径数学形态学的边缘检测的快速方法。首先用于路径图像的二进制处理。然后可以直接执行使用形态梯度的边缘检测,并且可以同时实现路径边缘的图像滤波和识别。 AGV的运动学模型是建立的,并且可以实时调整形态处理结构元素的形状。实验结果表明,通过该图像处理方法缩短了直线路径的识别时间。

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