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Lightning Arrester Monitor Pointer Meter and Digits Reading Recognition Based on Image Processing

机译:基于图像处理的避雷针监控指针表及数字读取识别

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Lightning arresters, also known as surge arresters, are used to protect electrical equipment from high-transient overvoltage damage. Lightning arrester monitor is a meter that combines pointer with digits, which can be used to detect leakage current and action (discharge) times. This paper proposes a simple meter image processing approach for obtaining the images at a fixed position and record the reading. First, the image is preprocessed, including noise reduction, grayscale processing and histogram equalization. The canny operator is then used to get a binary image containing the edge information. Finding circle and center to match the scale area by using circumscribed Hough transform, where can be obtained by eliminating unnecessary information by morphological processing. The standard Hough transform is used to confirm the pointer, and the result of the pointer meter reading can be recognized. About the digits reading, the horizontal and vertical projection (HVP) method is used for twice to determine the counter area and segment characters. The counter reading is acquired by template matching.
机译:避雷器,也称为避雷器,用于保护电气设备免受高瞬态过电压损坏。避雷器监控器是一种结合了指针和数字的仪表,可用于检测泄漏电流和动作(放电)时间。本文提出了一种简单的仪表图像处理方法,用于获取固定位置的图像并记录读数。首先,对图像进行预处理,包括降噪,灰度处理和直方图均衡化。然后使用canny运算符获取包含边缘信息的二进制图像。通过使用外接的Hough变换找到与比例尺区域匹配的圆和中心,可以通过形态学处理消除不必要的信息来获得圆和中心。使用标准的Hough变换来确认指针,并且可以识别指针仪表读数的结果。关于数字读取,水平和垂直投影(HVP)方法用于两次以确定计数器区域和段字符。通过模板匹配获取计数器读数。

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