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High Accuracy Real Time Machine Vision for Diameter Measurement Using Simpson Algorithm

机译:使用Simpson算法进行直径测量的高精度实时机器视觉

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Diameter is one of the important parameters for quality measurement. Fruit classification, for example, takes diameter as one important indicator, apart from other indicators. Precision measurement has been observed and experimented for example it can be done using laser technology, however the instrument requires a lot of space, therefore mobility is almost impossible. When speed is necessity while doing measurement, a real-time measurement using camera and image processing can give a lot of contribution compared to manual measurement. This paper introduces a diameter measurement method using Simpson algorithm in real-time, using regular camera. Simpson algorithm gave high accuracy measurement with high computation speed. The design indicated good result with accuracy ranged from 93% to 99% depending on calibration.
机译:直径是质量测量的重要参数之一。例如,水果分类除其他指标外,将直径作为一项重要指标。已经观察到并进行了精确测量,例如可以使用激光技术进行实验,但是该仪器需要很大的空间,因此几乎不可能移动。在进行测量时需要速度的情况下,与手动测量相比,使用相机和图像处理进行实时测量可以做出很多贡献。本文介绍了使用常规相机实时使用Simpson算法进行直径测量的方法。辛普森算法提供了高精度和高计算速度的测量结果。该设计显示了良好的结果,其准确度在93%到99%之间,具体取决于校准。

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