OpenCorr: 开源数字图像相关法C++程序开发库

OpenCorr是一个开源的C++程序开发库，旨在提供一套轻量而高效的开发工具，帮助对数字图像相关法（Digital image correlation, DIC）或数字体图像相关法（Digital volume correlation, DVC）感兴趣的用户学习和研究算法的原理及实现，或者根据自己的特定需求，像组装乐高积木一样，开发新的DIC或DVC算法，或制作相关处理软件。

大家如有问题或建议，欢迎联系我们。具体可通过以下途径获得帮助：

  1. 给我们写Email: zhenyujiang (at) scut.edu.cn
  2. 在GitHub的项目讨论区交流
  3. 加入OpenCorr的QQ讨论群：597895040

OpenCorr的代码和文档通过GitHub发布和维护，网址为 https://github.com/vincentjzy/OpenCorr

使用说明

1. 如何使用OpenCorr

2. OpenCorr的架构

3. 数据对象

4. 处理方法

5. GPU加速

6. 实例说明

致谢

OpenCorr 中提供的 DIC和DVC 算法是我们近年来在该领域一系列探索的成果，这些研究工作得到了多个国家自然科学基金项目的资助。在此，特别感谢一直以来给予我大力支持的两位合作者：新加坡南洋理工大学的钱克矛教授和华南理工大学的董守斌教授。

开发人员

  • 蒋震宇 博士，现为华南理工大学教授、博士生导师
  • 张铃启，现为日本东京工业大学在读博士生
  • 王添翼 博士，现为美国布鲁克海文国家实验室博士后
  • 陈蔚 博士，现为美的集团先行研究主任工程师
  • 黄健文，现为商汤科技软件工程师
  • 杨俊荣，现为腾讯科技软件工程师
  • 林傲宇，现为中国南方电网工程师

相关论文

用户可参阅我们发表的论文，以便深入了解OpenCorr中算法的原理。如果OpenCorr对你的工作有帮助，请引用以下这篇论文，以便更多朋友了解OpenCorr。

@article{jiang2023opencorr,
title={OpenCorr: An open source library for research and development of digital image correlation},
author={Jiang, Zhenyu},
journal={Optics and Lasers in Engineering},
volume={165},
pages={107566},
year={2023},
publisher={Elsevier}
}
  1. Z. Jiang, Q. Kemao, H. Miao, J. Yang, L. Tang, Path-independent digital image correlation with high accuracy, speed and robustness, Optics and Lasers in Engineering (2015) 65: 93-102. (https://doi.org/10.1016/j.optlaseng.2014.06.011)
  2. L. Zhang, T. Wang, Z. Jiang, Q. Kemao, Y. Liu, Z. Liu, L. Tang, S. Dong, High accuracy digital image correlation powered by GPU-based parallel computing, Optics and Lasers in Engineering (2015) 69: 7-12. (https://doi.org/10.1016/j.optlaseng.2015.01.012)
  3. T. Wang, Z. Jiang, Q. Kemao, F. Lin, S.H. Soon, GPU accelerated digital volume correlation, Experimental Mechanics (2016) 56(2): 297-309. (https://doi.org/10.1007/s11340-015-0091-4)
  4. Z. Pan, W. Chen, Z. Jiang, L. Tang, Y. Liu, Z. Liu, Performance of global look-up table strategy in digital image correlation with cubic B-spline interpolation and bicubic interpolation, Theoretical and Applied Mechanics Letters (2016) 6(3): 126-130. (https://doi.org/10.1016/j.taml.2016.04.003)
  5. W. Chen, Z. Jiang, L. Tang, Y. Liu, Z. Liu, Equal noise resistance of two mainstream iterative sub-pixel registration algorithms in digital image correlation, Experimental Mechanics (2017) 57(6): 979-996. (https://doi.org/10.1007/s11340-017-0294-y)
  6. J. Huang, L. Zhang, Z. Jiang, S. Dong, W. Chen, Y. Liu, Z. Liu, L. Zhou, L. Tang, Heterogeneous parallel computing accelerated iterative subpixel digital image correlation, Science China Technological Sciences (2018) 61(1):74-85. (https://doi.org/10.1007/s11431-017-9168-0)
  7. J. Yang, J. Huang, Z. Jiang, S. Dong, L. Tang, Y. Liu, Z. Liu, L. Zhou, SIFT-aided path-independent digital image correlation accelerated by parallel computing, Optics and Lasers in Engineering (2020) 127: 105964. (https://doi.org/10.1016/j.optlaseng.2019.105964)
  8. J. Yang, J. Huang, Z. Jiang, S. Dong, L. Tang, Y. Liu, Z. Liu, L. Zhou, 3D SIFT aided path independent digital volume correlation and its GPU acceleration, Optics and Lasers in Engineering (2021) 136: 106323. (https://doi.org/10.1016/j.optlaseng.2020.106323)
  9. L. Cai, J. Yang, S. Dong, Z. Jiang. GPU accelerated parallel reliability-guided digital volume correlation with automatic seed selection based on 3D SIFT. Parallel Computing (2021) 108: 102824. (https://doi.org/10.1016/j.parco.2021.102824)
  10. A. Lin, R. Li, Z. Jiang, S. Dong, Y. Liu, Z. Liu, L. Zhou, L. Tang, Path independent stereo digital image correlation with high speed and analysis resolution, Optics and Lasers in Engineering (2022) 149: 106812. (https://doi.org/10.1016/j.optlaseng.2021.106812)
  11. Z. Jiang, OpenCorr: An open source library for research and development of digital image correlation. Optics and Lasers in Engineering (2023) 165: 107566. (https://doi.org/10.1016/j.optlaseng.2023.107566)

影响

我们非常欣喜地发现，一些其他院校的同仁在他们的DIC研究中使用OpenCorr作为参照。欢迎大家提供更多以下列表中尚未包括的工作。

  1. Yuxi Chi, Bing Pan. Accelerating parallel digital image correlation computation with feature mesh interpolation. Measurement (2022) 199: 111554. (https://doi.org/10.1016/j.measurement.2022.111554)
  2. Wang Lianpo. Super-robust digital image correlation based on learning template. Optics and Lasers in Engineering (2022) 158: 107164. (https://doi.org/10.1016/j.optlaseng.2022.107164)