摘要
针对利用机器视觉对圆形仪表进行读数识别的过程中,由于镜头平面与仪表平面不一定平行导致采集图像发生几何畸变的问题,提出一种基于轮廓的圆形仪表自动透视校正算法。该算法分为校正矩阵估计与图像校正两个部分,首先通过圆形仪表的轮廓来计算校正矩阵,再利用双线性插值校正畸变图像,该算法只需要获得圆形仪表轮廓的坐标集合就可以校正畸变图像。仿真实验结果表明,基于轮廓的校正算法与传统四点投影变换算法相比,校正精确度提高了2%~6%,同时实际仪表校正实验也表明轮廓校正算法有着更高的精确度以及稳定性,对圆形仪表的自动读数的预处理有实际应用价值。
A contour-based automatic perspective correction algorithm for circular meters is proposed for the problem of geometric distortion of the collected images in the process of using machine vision to recognize the readings of circular meters.The algorithm is divided into two parts:correction matrix estimation and image correction.First,the correction matrix is calculated by the outline of the circular meter,and then the distorted image is corrected by bilinear interpolation,the algorithm only needs to obtain the coordinate set of the outline of the circular meter to correct the distorted image.The simulation experiment results show that the correction algorithm based on contour can improve the correction accuracy by 2%~6%compared with the traditional four-point projection transformation algorithm,and the actual instrument calibration experiment also shows that the contour calibration algorithm has higher accuracy and stability.It has practical application value for automatic reading of circular meters.
作者
胡东华
闫坤
辛文凯
曹宇
甘海铭
Hu Donghua;Yan Kun;Xin Wenkai;Cao Yu;Gan Haiming(School of Information and Communication,Guilin University of Electronic Technology,Guilin 541000,China)
出处
《电子测量与仪器学报》
CSCD
北大核心
2023年第1期32-39,共8页
Journal of Electronic Measurement and Instrumentation
基金
国家自然科学基金(62101147)
广西自然科学基金(桂科2020GXNSFAA159146)
广西创新驱动发展专项(桂科AA21077008)
“认知无线电与信息处理”教育部重点实验室基金项目(CRKL190108)
桂林电子科技大学研究生创新项目(2021YCXS032)资助
关键词
图像预处理
几何校正
圆形仪表
椭圆拟合
图像插值
image preprocessing
geometric correction
circular meters
ellipse fitting
image interpolation
