数字图像相关
失真(音乐)
相关性
图像(数学)
人工智能
计算机视觉
计算机科学
数字图像
光学
数学
算法
物理
图像处理
电信
几何学
放大器
带宽(计算)
作者
Nan Zhan,Xiaochuan Zhang,Jingchen Ye,Tingting Wang,Ziwen Dong,Zhenxing Song
标识
DOI:10.1016/j.optlastec.2024.111129
摘要
Optical distortions can significantly impact system performance, especially when dealing with asymmetrical distortions that traditional correction models cannot adequately describe. This study introduces Digital Image Correlation (DIC) as a non-parametric, high-precision method for measuring and correcting these distortions. Simulation results reveal the effectiveness of this method in achieving correction within 0.02 pixels. Validation in both macro and micro experimental settings confirms the widespread applicability of DIC. This research provides a fair and efficient solution for correcting optical systems, enabling precise measurement and imaging in practical scenarios. The method consistently performs well in simulations and real-world experiments, suggesting a feasible and promising approach to address the challenges posed by asymmetrical optical distortions.
科研通智能强力驱动
Strongly Powered by AbleSci AI