基于图像的近距离检测中摄像机标定的低成本目标设计与检测

D. Heinemann, D. Baumgarten, S. Knabner
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引用次数: 1

摘要

相机校准是一个广泛覆盖和众所周知的话题,已经在许多出版物中进行了讨论和很好的描述。然而,如果成像设置考虑非常短的工作距离,巨大的放大倍率和特殊的照明设置,则检测相应的校准标记可能会出现问题,这几乎是每个工业检测系统的情况,特别是在表面检测中。低成本的校准目标在表面均匀性方面可能质量较差,导致反射和照明伪影。本文提出了一种基于距离变换的目标标定标记检测方法。作为一个应用示例,使用了印刷电路板表面检测系统的典型设置。这种方法可确保内置校准过程,而无需更改成像设置。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Low Cost Target Design and Detection for Camera Calibration in Image Based Close Range Inspection Applications
Camera calibration is a widely covered and wellknown topic, which has been discussed and well described in many publications. However, the detection of the corresponding calibration markers can be problematic if the imaging setup considers a very short working distance, a huge magnification and special lighting setups, which is the case in almost every industrial inspection system, especially in surface inspection. Low-cost calibration targets can have poor quality in terms of surface homogeneity, resulting in reflection and illumination artifacts. In this paper, we present a distance transform based approach for detecting calibration markers of those targets. As an example application, the typical setup of a surface inspection system for printed circuit boards is used. This approach ensures a built-in calibration process without the need of changing the imaging setup.
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