Development of an automatic reading method and software for pointer instruments

Wenbin Zheng, Hongtao Yin, Anqi Wang, Ping Fu, Bing Liu
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引用次数: 10

Abstract

To effectively resolve the automatic recognition of analog pointer measuring instruments, a reading recognition method based on Hough transform is proposed. In order to simplify the following procedure, image graying and binary, mathematical morphology, including dilation and thinning, edge recognition was applied to the system. We proposed the recognition principle for reading recognition of the pointer's angle by using Hough transform. And the reading of the pointer is decided by the linear relationship between the panel's scale and the angle of the instrument's dial revolutionary. Considering that in most practical cases, the panel cannot be horizontal, so the procedure of tilt correction is employed in this paper. Finally, the software is written in MATLAB. The recognition system is achieved in LabVIEW, where the front panel of the reading system is developed. The experimental results demonstrate that our method is feasible for pointer instrument recognition.
指针式仪表自动读数方法及软件的开发
为有效解决模拟指针式测量仪表的自动识别问题,提出了一种基于霍夫变换的读数识别方法。为了简化后续程序,将图像灰度化和二值化,数学形态学,包括扩张和细化,边缘识别应用到系统中。提出了利用霍夫变换对指针角度进行读取识别的识别原理。指针的读数由仪表盘刻度与仪表表盘旋转角度之间的线性关系决定。考虑到在大多数实际情况下,面板不可能是水平的,因此本文采用倾斜校正程序。最后,用MATLAB编写软件。识别系统是在LabVIEW中实现的,读取系统的前面板是在LabVIEW中开发的。实验结果表明,该方法对指针仪表识别是可行的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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