摘要
图像在成像过程中,受到周围环境等因素的干扰,导致图像存在噪声干扰。提出基于灰度梯度正则化的数字图像位移标定方法。采用灰度梯度正则化方法对数字图像进行去噪处理;对相机进行各项参数标定;引入位移标定方法,计算图像测点位移,消除相机镜头畸变问题,实现对数字图像位移的标定。设计一次仿真来验证研究方法的有效性。通过仿真结果可证明,研究方法具有较高的检测位移精度,可证明该方法的有效性,为数字图像相关方法提供有力的帮助。
In the imaging process,the image is interfered by the surrounding environment factors,resulting in noise interference.Therefore,a method of digital image displacement calibration based on gray gradient regularization was proposed.The noise of digital image was removed by grayscale gradient regularization.All of the parameters of the camera were calibrated.The displacement calibration method was introduced to calculate the displacement of the measuring point,so as to eliminate the camera lens distortion.Thus,the calibration of digital image displacement was achieved.The simulation was designed to verify the effectiveness of the proposed method.Simulation results show that the proposed method has high displacement detection accuracy,so that the effectiveness of the proposed method can be proved.This method can provide a powerful help for related methods of digital image.
作者
邓秋菊
徐琴
王宁
DENG Qiu-ju;XU Qin;WANG Ning(College of Mobile Telecommunications.Chongqing University of Posts and Telecom,Chongqing 401502,China)
出处
《计算机仿真》
北大核心
2021年第2期365-369,共5页
Computer Simulation
基金
重庆市高等教育教学改革研究项目(183003)。
关键词
灰度梯度
正则化
图像位移标定
相机标定
Gray gradient
Regularization
Image displacement calibration
Camera calibration