一种基于2D+3D视觉的芯棒表面缺陷检测方法

    A 2D+3D Vision-based Surface Defect Detection Method for Mandrel

    • 摘要: 介绍一种芯棒表面缺陷2D+3D自动检测设备。通过对4套线结构光装置进行联合标定,建立图像像素坐标系与世界坐标系之间的关系,将所有点云拼接、融合重建出芯棒的横断面轮廓,最后对芯棒进行实时拍摄重建,得到芯棒表面整体轮廓。通过设定缺陷的深度、面积等阈值,可实现纵向划伤、块状伤、表面掉肉等需要深度信息的缺陷检出。经实验验证,该研发设备可达到2 m/s的检测速度,最小检测精度0.3 mm,缺陷漏报率≤0.5%,误报率≤5%,符合芯棒表面缺陷检测要求。

       

      Abstract: Described here is a 2D+3D-based automatic detection system for mandrel surface defect. The system is functioning by means of using four sets of line structured light measurement devices to fulfill jointly calibration, establishing the relationship between the image pixel coordinate system and the world coordinate system, getting all the point clouds concatenated and fused to reconstruct the cross-sectional contour of the mandrel, and finally, having the mandrel real-time photographed and reconstructed to obtain the overall surface contour thereof. And the system is capable of detecting defects as needing depth information such as longitudinal scratch, blocky flaw, and surface peeling etc via setting such threshold values as defect depth and area. It is verified via relevant experiment that the system as developed features a detection speed of 2 m/s, a minimum detection accuracy of 0.3 mm, a defect missing rate ≤ 0.5%, and a false alarm rate ≤ 5%, having met the requirements for surface defect detection of the mandrel.

       

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