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Research on Water Level Gauge Image Identification Based on Intelligent Remote Viewing

机译:基于智能远程观察的水位计图像识别研究

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To research water level gauge image identification based on intelligent remote viewing system which can replace the on-duty staff observing, an improved Otsu algorithm is proposed to realize higher identification accuracy. The new Gaussian difference filter is also applied to image edge detection for later period clearly dividing and extracting the liquid level and the scale numbers of water level gauge so that the liquid level scale can be obtained fast and accurately. The result of the experiment shows that the proposed intelligent remote viewing system and algorithms not only have higher intelligent degree, but also can improve apparently image identification effect.
机译:为了研究基于智能远程观察系统的水位计图像识别,可以取代值班人员观察,提出了一种改进的OTSU算法来实现更高的识别精度。新的高斯差分滤波器也应用于图像边缘检测,以便在稍后的时间内清楚地分开和提取水位计的液位和尺度数量,使得可以快速且准确地获得液位秤。实验结果表明,建议的智能远程观看系统和算法不仅具有更高的智能程度,而且还可以改善显然图像识别效果。

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