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

机译:避雷器监控指针仪表和基于图像处理的读数识别

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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:避雷器又称浪涌避雷器,用于保护电气设备免受高瞬态过电压损坏。雷电避雷器监视器是一款与数字相结合的仪表,可用于检测漏电流和动作(放电)时间。本文提出了一种简单的仪表图像处理方法,用于以固定位置获得图像并记录读数。首先,预处理图像,包括降噪,灰度处理和直方图均衡。然后,Canny运算符将用于获得包含边缘信息的二进制图像。通过使用外接的Hough变换,找到圆形和中心以匹配比例区域,可以通过通过形态加工消除不必要的信息来获得。标准霍夫变换用于确认指针,可以识别指针抄表读数的结果。关于数字读数,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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