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

作　　者：李娜 王军[1,2] 董兴法[1] 石绍鹏 LI Na;WANG Jun;DONG Xing-fa;SHI Shao-peng(School of Electronic and Information Engineering,Suzhou University of Science and Technology, Suzhou 215009, China;Chinese Academy of Science, Changchun Institute of Optics,Fine Mechanics and Physics, Changchun 130033, China)

机构地区：[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

出　　处：《液晶与显示》2021年第8期1196-1203,共8页Chinese Journal of Liquid Crystals and Displays

基　　金：“十三五”江苏省重点学科项目(No.20168765);江苏省研究生工作站项目(No.2017272)。

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。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：指针式仪表 OSTU算法 圆心约束 HOUGH变换 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]