基于Halcon的指针式压力表读数识别研究
Research on Pointer Gauge Reading Recognition Based on Halcon
万蕾 1詹彬彬 2凌中水 3夏燕玲 3姚兆凤3
作者信息
- 1. 安庆职业技术学院机电工程学院,安徽 安庆 246000;江苏大学机械工程学院,江苏 镇江 212000
- 2. 安庆市计量测试所,安徽 安庆 246000
- 3. 安庆职业技术学院机电工程学院,安徽 安庆 246000
- 折叠
摘要
针对指针式压力表人工读数工作效率低、精度受限制等问题,提出了一种基于Halcon软件的机器视觉方法,通过图像处理、极坐标变换、投影变换、图像分割、提取指针特征、几何计算相结合,实现指针式压力表的自动读数识别.结果表明:该方法经测试准确度达97.5%,读数平均时间0.31 s.相比于传统人眼读数方法的低效,该方法识别精度高,读数时间提高10倍以上,弥补了人工判读的不足,简单快捷,具有广阔的应用前景.
Abstract
Aiming at the problems of low efficiency and limited accuracy of manual reading of pointer type pressure gauges,a Halcon-based machine vision technology is proposed to realize the automatic reading recognition of pointer type pressure gauges through the combination of image processing,polar coordinate transformation,projection transfor-mation,image segmentation,extraction of pointer features,and geometric calculation.The results show that the tested accuracy of the method reaches 97.5%and the average reading time is 0.31 s.Compared with the inefficiency of the tradi-tional human eye reading method,the method has high recognition accuracy and the reading time is improved by more than 10 times,which makes up for the shortage of manual interpretation.This method is simple,fast and conducive to im-proving the efficiency and the accuracy of the readings,promising a broad application prospect.
关键词
指针式压力表/机器视觉/图像处理/图像分割/极坐标变换Key words
pointer type pressure gauge/machine vision/image processing/image segmentation/polar coordinate trans-formation引用本文复制引用
基金项目
安徽省高等学校质量工程项目(2022jnds037)
安徽省高校自然科学重点研究项目(2023AH053080)
安庆职业技术学院青年科研项目(aqzyzk202204)
安庆职业技术学院青年科研项目(aqzyzk202206)
出版年
2024
NETL
NSTL
万方数据