Intelligent recognition method for reading of pointer instrument based on machine vision

SHI Ying; XIA Chun-hua; HU Lin-na; MENG Ying-jun

doi:10.13873/j.1000-9787(2017)11-0047-03

Chinese

您当前的位置：

首页 >

文章列表页 >

Intelligent recognition method for reading of pointer instrument based on machine vision

更新时间：2025-09-11

- Intelligent recognition method for reading of pointer instrument based on machine vision
- Vol. 36, Issue 11, Pages: 47-49+52(2017)
- 作者机构：
  
  1. 南京理工大学紫金学院
  2. 农业部南京农业机械化研究所
- 作者简介：
- 基金信息：
- DOI：10.13873/j.1000-9787(2017)11-0047-03
  CLC： TP391.41
- Published：2017
- 稿件说明：
移动端阅览
[1]施滢,夏春华,胡琳娜,孟迎军.指针式仪表读数的机器视觉智能识别方法[J].传感器与微系统,2017,36(11):47-49+52.

SHI Ying, XIA Chun-hua, HU Lin-na, et al. Intelligent recognition method for reading of pointer instrument based on machine vision[J]. 2017, 36(11): 47-49+52.
[1]施滢,夏春华,胡琳娜,孟迎军.指针式仪表读数的机器视觉智能识别方法[J].传感器与微系统,2017,36(11):47-49+52. DOI： 10.13873/j.1000-9787(2017)11-0047-03.

SHI Ying, XIA Chun-hua, HU Lin-na, et al. Intelligent recognition method for reading of pointer instrument based on machine vision[J]. 2017, 36(11): 47-49+52. DOI： 10.13873/j.1000-9787(2017)11-0047-03.

摘要

为快速准确地自动识别指针式仪表读数

采用机器视觉技术

结合减影法和Hough变换法对仪表读数进行智能识别。对指针式仪表图像进行图像二值化、形态学处理和边缘检测预处理;利用Hough变换检测仪表中的指针

计算得到指针方向和定位圆形

实现指针式仪表的智能识别。实验结果表明:读数识别的平均相对误差为0.91%

精度较高

能较好地识别指针式仪表读数。

Abstract

In order to identify the reading of pointer instrument automatically and accurately

an intelligent recognition method of pointer instrument is proposed based on machine vision. The reading of pointer instrument is recognized based on machine vision

combined with image subtraction and Hough transformation. Pointer instrument image is preprocessed by image binarization

morphological processing and edge detection. Direction of the pointer and the position of the circle are determined by Hough transformation

in order to realize intelligent recognition method of pointer instrument. Experimental result shows that the average relative error is 0.91 %

the precision is high

the reading of pointer instrument can be recognized accurately by this method.

关键词

Keywords

references

新的基于分解直方图的三维Otsu分割算法 [J]. 徐青,范九伦. 传感器与微系统 . 2017(01)

基于OpenCV的圆心定位在地铁隧道变形监测中的应用 [J]. 赵炯,朱海涛,屈剑平,张根雷. 传感器与微系统 . 2013(11)

基于Hough变换的水下管道检测方法 [J]. 曾文静,张铁栋,万磊,徐玉如. 仪器仪表学报 . 2012(01)

一种基于改进Hough变换的直线快速检测算法 [J]. 段汝娇,赵伟,黄松岭,陈建业. 仪器仪表学报 . 2010(12)

基于HSI模型和Hough变换的指针式汽车仪表自动校验 [J]. 周泓,徐海儿,耿晨歌. 浙江大学学报(工学版) . 2010(06)

指针式压力表自动检定系统的设计与实现 [J]. 熊伟丽,周寰,徐保国. 传感器与微系统 . 2009(08)

利用Hough变换实现直线的快速精确检测 [J]. 滕今朝,邱杰. 中国图象图形学报 . 2008(02)

一种新型指针仪表识别方法研究 [J]. 李治玮,郭戈. 微计算机信息 . 2007(31)

改进Hough变换在形状检测中的应用 [J]. 杨莉,隋金雪,杜艳红,郭玉刚. 传感器与微系统 . 2007(05)

数字图像处理技术在计量仪表检定中的应用 [J]. 王红平,曹国华,苏成志. 长春理工大学学报 . 2004(03)

A measurement method for contact angle based on Hough Transformation [J] . Bingliang Xu,Dianwen Liu,Guoyin Xu,XiaoLin Zhang,Lingcheng Bi. Measurement . 2013 (3)

Views

369

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Welding quality detection of coffee capsule aluminum foil based on machine vision

Design of object recognition and tracking algorithm and system based on machine vision

Application of improved MB-LBP features and LPP algorithm in strip surface defect identification

Review of pointer meter detection and recognition method based on vision

Load spatial localization of bridge crane based on improved circle detection algorithm

Related Author

DING Jinfeng

XU Xiaozuo

YAN Dongpeng

CHAI Zijun

YANG Yu

LIU Yuhong

PENG Yan

SUN Yuchen

Related Institution

Department of Instruments,School of Mechanical Science and Engineering,Huazhong University of Science and Technology

Guizhou Provincial Key Laboratory of Public Big Data

College of Big Data ＆ Information Engineering,Guizhou University

College of Internet of Things Engineering,Jiangnan University

School of Electromechanical and Vehicle Engineering,East China Jiaotong University

⁰