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Algorithm for the Evaluation of Imperfections in Auto Bodywork Using Profiles from a Retroreflective Image

机译:利用逆反射图像中的轮廓评估汽车车身瑕疵的算法

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摘要

Nowadays the automobile industry is becoming more and more demanding as far as quality is concerned. Within the wide variety of processes in which this quality must be ensured, those regarding the squeezing of the auto bodywork are especially important due to the fact that the quality of the resulting product is tested manually by experts, leading to inaccuracies of all types. In this paper, an algorithm is proposed for the automated evaluation of the imperfections in the sheets of the bodywork after the squeezing process. The algorithm processes the profile signals from a retroreflective image and characterizes an imperfection. It is based on a convergence criterion that follows the line of the maximum gradient of the imperfection and gives its geometrical characteristics as a result: maximum gradient, length, width, and area.
机译:如今,就质量而言,汽车行业的要求越来越高。在必须确保这种质量的各种过程中,与挤压汽车车身有关的过程尤为重要,这是因为最终产品的质量是由专家手动测试的事实,导致所有类型的误差。在本文中,提出了一种算法,用于自动评估挤压后车身板料的缺陷。该算法处理来自回射图像的轮廓信号并表征缺陷。它基于收敛准则,该准则遵循缺陷的最大梯度线,并给出其几何特征:最大梯度,长度,宽度和面积。

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