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Vision System for Subpixel Laser Stripe Profile Extraction with Real Time Operation

机译:亚像素激光条带轮廓提取的视觉系统,实时操作

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Computer vision systems are playing an important role in 3D measurement for industrial applications. Real time image processing algorithms are useful in order to achieve reliability in feature extraction from the global environment starting from planar images. For example, in a structured light vision system is essential to extract the pattern that a laser source is shaping with the objects under inspection. In this sense, this work describes a single strip image extraction algorithm that could be used as an analysis tool in those structured light systems. The experimental setup is implemented using the following equipment: A PC equipped with a frame grabber, a high-resolution CCD camera, a laser stripe projector and specific software developed using Visual C++6. The system accomplishes with real time operation and high subpixel accuracy.
机译:计算机视觉系统在工业应用的3D测量中发挥着重要作用。实时图像处理算法是有用的,以实现从平面图像开始的全局环境中的特征提取的可靠性。例如,在结构化的光视觉系统中对于提取激光源与在检查下的物体上形成的图案是必要的。从这个意义上讲,这项工作描述了一种单条带图像提取算法,可以用作这些结构光系统中的分析工具。实验设置使用以下设备实现:配备帧抓取器,高分辨率CCD摄像机,激光条带投影仪和使用Visual C ++ 6开发的特定软件的PC。该系统以实时操作和高亚像素精度完成。

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