基于改进Hough变换的指针式仪表识别方法

李娜; 王军; 董兴法; 石绍鹏

doi:10.37188/CJLCD.2020-0179

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基于改进Hough变换的指针式仪表识别方法

图像处理 | 更新时间：2021-08-05

- 基于改进Hough变换的指针式仪表识别方法
- Pointer meter recognition method based on improved Hough transform
- 液晶与显示 2021年36卷第8期页码：1196-1203
- 作者机构：
  
  1.苏州科技大学电子信息工程学院, 江苏苏州 215009
  2.中国科学院长春光学精密机械与物理研究所, 吉林长春 130033
- 作者简介：
  
  [ "李娜(1995-), 女, 安徽阜阳人, 硕士, 2021年于苏州科技大学获得硕士学位, 主要从事数字图像处理和光电信息检测的研究。E-mail:2421689534@qq.com" ]
  [ "董兴法(1963-), 男, 江苏苏州人, 博士, 教授, 2005于南开大学获得博士学位, 主要从事光电信息技术与仪器方面的研究。E-mail: dongxfa@mail.usts.edu.cn" ]
- 基金信息：
  
  Jiangsu Key Disciplines of Thirteen Five-Year Plan(20168765);江苏省研究生工作站项目(2017272)
- DOI：10.37188/CJLCD.2020-0179
  中图分类号： TP391.4
- 收稿日期：2020-07-11，
  
  修回日期：2021-01-09，
  
  纸质出版日期：2021-08
- 稿件说明：
移动端阅览
李娜, 王军, 董兴法, 等. 基于改进Hough变换的指针式仪表识别方法[J]. 液晶与显示, 2021,36(8):1196-1203.

Na LI, Jun WANG, Xing-fa DONG, et al. Pointer meter recognition method based on improved Hough transform[J]. Chinese journal of liquid crystals and displays, 2021, 36(8): 1196-1203.
李娜, 王军, 董兴法, 等. 基于改进Hough变换的指针式仪表识别方法[J]. 液晶与显示, 2021,36(8):1196-1203. DOI： 10.37188/CJLCD.2020-0179.

Na LI, Jun WANG, Xing-fa DONG, et al. Pointer meter recognition method based on improved Hough transform[J]. Chinese journal of liquid crystals and displays, 2021, 36(8): 1196-1203. DOI： 10.37188/CJLCD.2020-0179.

摘要

为解决指针式仪表自动识别系统中，光照不均匀、精确度不高等问题，提出一种Otsu算法和改进的Hough算法对仪表图像进行处理。首先预处理仪表图像，增强仪表指针区域特征，Otsu算法进行图像二值化，分割出仅属于指针的像素；再进行改进的Hough变换检测指针，通过快速提取表盘指针连通区域的中心像素点，结合表盘圆心约束，对提取过的像素点进行双阈值Hough变换直线检测。实验结果表明，提出的算法识别仪表读数最大相对误差为4.76%左右，满足系统精确度要求。

Abstract

In order to solve the problems of uneven illumination and low accuracy in the automatic recognition system of pointer instruments

an Otsu algorithm and an improved Hough algorithm are proposed to process the instrument image. Firstly

the instrument image is preprocessed to enhance the characteristics of the instrument pointer area

Otsu algorithm performs the image binarization to segment pixels that only belong to the pointer

and the improved Hough transform is performed to detect the pointer. By quickly extracting the center pixel point of the dial pointer's connected area

combined with the dial center constraint

the double threshold Hough is performed on the extracted pixel point transform straight line detection. Experimental results show that the proposed algorithm detects the meter reading error at about 4.76%

which meets the system accuracy requirements.

关键词

Keywords

references

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