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Optical high-precision three-dimensional vision-based quality control of manufactured parts by use of synthetic images and knowledge for image-data evaluation and interpretation

机译:通过使用合成图像和图像数据评估和解释知识,对光学零件进行基于光学高精度三维视觉的质量控制

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摘要

Vision-based evaluation of industrial workpieces can make efficient use of knowledge-based approaches, in particular for quality control, inspection, and accurate-measurement tasks. A possible approach is to compare real images with conceptual (synthetic) images generated by use of standard computer-aided design models, which include tolerances and take the application-specific conditions into account (e.g., the measured-calibration data). Integrated in (industrial) real-life environments, our evaluation methods have been successfully applied to on-line inspection of manufactured parts including sculptured surfaces, using structured light techniques for the reconstruction of three-dimensional shapes. Accuracies in the range 15-50 mum are routinely achieved by use of either isolated images or spatially registered image sequences. (C) 2002 Optical Society of America. [References: 39]
机译:基于视觉的工业工件评估可以有效利用基于知识的方法,特别是在质量控制,检查和精确测量任务方面。一种可能的方法是将真实图像与通过使用标准计算机辅助设计模型生成的概念(合成)图像进行比较,其中包括容差并考虑到特定于应用的条件(例如,测量的校准数据)。集成在(工业)现实环境中,我们的评估方法已成功地应用于结构化零件的在线检查,其中包括使用结构光技术重建三维形状的雕刻表面。通常,通过使用孤立的图像或空间对齐的图像序列,可以达到15-50微米的精度。 (C)2002年美国眼镜学会。 [参考:39]

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