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The application of improved Roberts operator in crimping detection

机译:改进的Roberts算子在压接检测中的应用

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In production, if the tow used in cigarette has the edge rolling problem, it will have an effect on the quality of production. Consequently, finding out the rolling tow has become one of the urgent problems and has important significance.According to the feature of crimping tow, gray the G component of RGB image and use Roberts operator to deal with the edge rolling tow from the view of image processing. And combine with binarization, filtering and other methods to simulate and calculate the width of tow exactly to judge whether the tow is crimping. Compared with classical Roberts operator, the improved operator detects more accurately and also meets the need of system. Solidify the algorithm to the system of hardware, the issue has been solved by the system and it can detect the tow online. The result indicates that the operator can detect the crimping tow well, accurately and efficiently.
机译:在生产中,如果卷烟中使用的丝束有卷边的问题,它将对生产质量产生影响。因此,找出滚动束已成为迫在眉睫的问题,具有重要意义。根据卷曲束的特点,将RGB图像的G分量灰化,并使用Roberts算子从图像角度处理边缘滚动束处理。并结合二值化,滤波等方法,准确模拟并计算丝束宽度,以判断丝束是否卷曲。与经典的罗伯茨算子相比,改进后的算子检测更准确,也满足了系统的需求。将算法固化到硬件系统中,系统解决了该问题,可以在线检测拖曳。结果表明,操作员可以正确,准确,有效地检测压接丝束。

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