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Surface roughness measuring system design for cutting workpiece based on machine vision technology

机译:基于机器视觉技术的切削工件表面粗糙度测量系统设计

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A new method for workpiece surface roughness measuring system based on machine vision technology was designed. A Charge-coupled Device (CCD) camera was used to take workpiece surface image. Then median filtering, image enhancement and image binarization techniques were used for image preprocessing. And then useful information was extracted from image characteristic parameters. The surface roughness of cutting workpiece was calculated out. Researching emphasis was focused on the hardware design and software programming of the main two parts, image acquisition module and image processing module. This measuring system was used to measure cutting workpiece surface roughness, and perform very well.
机译:设计了一种基于机器视觉技术的工件表面粗糙度测量系统的新方法。使用电荷耦合器件(CCD)相机拍摄工件表面图像。然后将中值滤波,图像增强和图像二值化技术用于图像预处理。然后从图像特征参数中提取有用的信息。计算出切削工件的表面粗糙度。研究重点集中在图像采集模块和图像处理模块这两个主要部分的硬件设计和软件编程上。该测量系统用于测量切削工件的表面粗糙度,并且性能非常好。

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