摘要
图像畸变的矫正是图像处理领域的难题之一,尤其是在自动化检测领域.本文采用一种多项式畸变成像模型建立坐标系之间的转换关系,然后基于LabView平台使用校准点阵进行机器视觉系统校准,并在不同的工作模式下采用双线性插值算法对图像进行矫正.实验结果表明,采集的图像得到了良好的矫正,达到了预期的效果.
Correction of image distortion is one of the problems in the field of image processing,especially in the field of automated inspection.A polynomial distortion imaging model is used to establish the conversion relationship between coordinate systems.Based on the LabView platform,the calibration dot matrix is used to calibrate the machine vision system,and the bilinear interpolation algorithm is used to correct the image in different working modes.The experimental results show that the acquired images have been well corrected and the expected results have been achieved.
作者
吴亚帅
刘新妹
殷俊龄
高志亨
WU Ya-Shuai;LIU Xin-Mei;YIN Jun-Ling;GAO Zhi-Heng(National Key Laboratory of Electronic Measurement Technology,North University of China,Taiyuan 030051,China)
出处
《计算机系统应用》
2020年第9期219-224,共6页
Computer Systems & Applications
基金
山西省回国留学人员科研资助项目(2017-090)
山西省重点研发项目(201903D121058)。
关键词
畸变矫正
机器视觉
LABVIEW
校准
多项式畸变模型
线性插值
distortion correction
machine vision
LabView
calibration
polynomial distortion model
linear interpolation
