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A Fast GPI Line Detection Method for Robot Seam Tracking

机译:一种用于机器人缝跟踪的快速GPI线路检测方法

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An improved line detection method, the fast GPI method, is presented in this paper. This method improves the GPI method, reduces computational time and memory storage. After the image is filtered by Sobel operator, the feature points are stored and a sequence of projection angles is calculated by these points. A preliminary GPI matrix is calculated by these angles and then the preliminary projection angle is obtained; more detailed calculation in the vicinity of the preliminary projection angle is performed. So the final GPI matrix can be calculated, and search the extreme of the final matrix, the straight line can be located in the image. This method can detect the position of the line more quickly than the GPI method and avoid massive calculations, and is useful in image understanding, especially for robot seam tracking in robotic welding.
机译:本文提出了一种改进的线路检测方法,快速GPI方法。该方法改进了GPI方法,减少了计算时间和内存存储。通过Sobel操作员滤波图像之后,存储特征点,并通过这些点计算一系列投影角度。通过这些角度计算初步GPI矩阵,然后获得初步投影角度;执行初步投影角附近的更详细计算。所以可以计算最终的GPI矩阵,并搜索最终矩阵的极端,直线可以位于图像中。该方法可以比GPI方法更快地检测线路的位置,并避免大量计算,并且可用于图像理解,特别是对于机器人焊接中的机器人缝跟踪。

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