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Research on Automatic Recognition Algorithm of Pointer Meter Based on Machine Vision

机译:基于机器视觉的指针仪表自动识别算法研究

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Pointer meters can directly reflect the changing trend of measured values, so they are widely used in industry field measurements. The digital reading of pointer meters is conductive to real-time data monitoring and management. The paper firstly describes the structural characteristics of the pointer meter, and briefly describes the preprocessing algorithm of the meter picture, and then uses the algorithm to complete the position of the dial and the pointer location relative to the dial. The pointer positioning is achieved by monitoring the edges on both sides of the pointer. Finally, the pointer reading is determined according to the position of the pointer scale relative to the minimum scale. The algorithm is not affected by the tilt of the dial, and the final recognition accuracy is one-fifth of the smallest scale.
机译:指针仪表可以直接反映测量值的变化趋势,因此它们被广泛用于行业场测量。 指针计的数字读数是实时数据监控和管理的导向。 本文首先描述了指针计的结构特征,并简要描述了仪表图像的预处理算法,然后使用算法完成拨盘和指针位置相对于拨号的位置。 通过监视指针两侧的边缘来实现指针定位。 最后,根据指针比例相对于最小规模确定指针读数。 该算法不受表盘倾斜的影响,最终识别精度是最小规模的五分之一。

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