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Axial-Stereo 3D Optical Metrology of Internally Machined Parts Using High-Quality Imaging from a Scanning Laser Endoscope

机译:使用来自扫描激光内窥镜的高质量成像对内部加工零件进行轴向立体3D光学计量

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摘要

As the rapid progress in the development of optoelectronic components and computational power, 3D optical metrology becomes more and more popular in manufacturing and quality control due to its flexibility and high speed. However, most of the optical metrology methods are limited to external surface. This paper proposed a new approach to measure tiny internal 3D surfaces with a scanning fiber endoscope and axial-stereo vision algorithm. A dense, accurate point cloud of internally machined threads was generated to compare with its corresponding X-ray 3D data as ground truth, and the quantification was analyzed by iterative closest points (ICP) algorithm.
机译:随着光电组件和计算能力的飞速发展,3D光学计量技术由于其灵活性和高速度而在制造和质量控制中变得越来越流行。但是,大多数光学计量方法仅限于外表面。本文提出了一种使用扫描纤维内窥镜和轴向立体视觉算法测量微小内部3D表面的新方法。生成了密集,准确的内部加工螺纹点云,以与作为地面真相的相应X射线3D数据进行比较,并通过迭代最近点(ICP)算法分析了量化。

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