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An Approach for Image and Height Calibration for Borescope Based Surface Characterization

机译:基于Borescope的表面特征的图像和高度校准方法

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When the topology of a surface is characterized using triangulation with a structured light beam, the image quality and mapping charge coupled device (CCD) pixel offset to a height variation assumes utmost importance. A typical optical is adversely affected by the distortions in the images introduced by the optical components. In this specific case, the optical system employs a borescope that introduces distortions visible even to a naked untrained eye. One reason for this is the view angle of the borescope and the other is the presence of the lenses in the borescope. For borescopes to be used for quantitative characterization purposes, these distortions need to be corrected. Mapping the offset in the CCD chip into a height variation is a popular approach for triangulation. In this presentation, we will introduce an algorithm on how we remove the distortions from borescope images, and how we perform a height calibration for determining the surface topology through a borescope based system.
机译:当表面的拓扑以具有结构光束的三角测量的特征在于使用结构化光束的三角测量时,图像质量和映射电荷耦合器件(CCD)像素偏移到高度变化是最重要的。典型的光学受光学部件引入的图像中的扭曲产生不利影响。在该特定情况下,光学系统采用缺乏缺乏可见的障碍,即使裸露的未经训练的眼睛也是如此。这是一个原因是Borescope的视角,另一个是侧面的存在镜片。对于用于定量表征目的的障碍物,需要纠正这些扭曲。将CCD芯片中的偏移映射到高度变化中是三角测量的流行方法。在此演示文稿中,我们将介绍一种算法,我们如何从Borescope图像中删除扭曲,以及我们如何通过基于Borescope的系统来确定表面拓扑的高度校准。

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