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Visual feature recognition of an X-ray based inspection pipeline robot

机译:基于X射线的检查管道机器人的视觉功能识别

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An X-ray based pipeline robot is developed in order to inspect the welding of pipeline. The robot consists of the inner robot which carries X-ray device and searches the welding seam, and the outer robot which capture X-ray image via an enhancer. Based on visual recognition of identified lead wire, the paper presents a synchronous motion control method, simplifies the Prewitt operator to detect the edge image quickly and recognize vertical or horizon edge. A hump-shape recognition algorithm is studied to recognize the welding seam and the labelling lead wire. The experiments show that the simplified Prewitt edge detection approach and the gray-scale hump-shape recognition algorithm is valid and efficient, and the visual feature recognition algorithm has a satisfied application in pipeline robot.
机译:开发了基于X射线的管道机器人,以检查管道的焊接。机器人包括携带X射线装置并搜索焊缝的内部机器人,以及通过增强器捕获X射线图像的外机器人。基于识别识别的引线线,纸张提供了一种同步运动控制方法,简化了PREWITT运算符以快速检测边缘图像并识别垂直或地平线边缘。研究了驼峰形状识别算法以识别焊缝和标签引线。实验表明,简化的PREWITT边缘检测方法和灰度驼峰形状识别算法有效且有效,并且视觉特征识别算法在管道机器人中具有满意的应用。

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