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A Model of Automatic Detection System for Weld Defects Based on Machine Vision

机译:基于机器视觉的焊接缺陷自动检测系统模型

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To realize weld defects detection and measure automation based on machine vision, such as dimension, shape, displacement and numbers in a given length (area), it’s necessary to build a mathematic model for the imaging system. Precision of model directly affects precision of measurement for defects. In this paper, a model was built including some nonlinear factors, i.e. the input screen shape (spherical surface) of the x-ray image intensifier and the distortion of the image in CCD at small distance. A kind of reason why the electromagnetic distortion generates is given in this paper, too.
机译:为了实现焊接缺陷检测和基于机器视觉的自动化,例如给定长度(面积)中的尺寸,形状,位移和数字,有必要为成像系统构建数学模型。模型的精度直接影响测量精度进行缺陷。在本文中,建立了一种模型,包括一些非线性因子,即X射线图像增强器的输入屏幕形状(球面)和CCD中的图像的失真在较小的距离。在本文中还给出了电磁失真产生的一种原因。

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