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A measurement method on the roundness error based on computer vision system

机译:基于计算机视觉系统的圆度误差测量方法

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Precision measurement methods or tools have many applications in the field of measurement, especially for subminiature parts that traditional tools cannot measure. In this paper, a novel measurement system using computer vision equipment is proposed to detect the sizes and roundness errors of taper bore holes in subminiature parts. This measurement system consists of computers, photoelectric microscopes, and CCD cameras. For images taken from ambiguous micro-environments, the Canny edge detection algorithm based on bilinear fuzzy enhancement is used to obtain the edge information of the holes of the taper bore in the subminiature parts. The experiments indicate that the computer vision method is a highly precise approach that eliminates the need for contact and can easily be automated.
机译:精密测量方法或工具在测量领域有许多应用,特别是对于传统工具无法测量的超小型零件。本文提出了一种使用计算机视觉设备的新型测量系统,用于检测超小型零件中锥形孔的尺寸和圆度误差。该测量系统由计算机,光电显微镜和CCD相机组成。对于从模糊的微环境中拍摄的图像,使用基于双线性模糊增强的Canny边缘检测算法来获取超细零件中锥孔的孔的边缘信息。实验表明,计算机视觉方法是一种高度精确的方法,无需接触即可轻松实现自动化。

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