![]() ![]() Lastly, resources are available in the DIC algorithms section for an exposition of the underlying algorithms. Receive constructive criticism from users to help improve the program and resources on this websiteĮxamples of the use of Ncorr are shown in the applications section, while techniques for pattern application and image acquisition are provided in the data collection section.Display applications and examples of the program.Provide resources for the use/understanding of the program and the underlying DIC algorithms.Develop a robust and open-source code for 2D digital image correlation.The idea is to give the users an easy to use, efficient, and flexible DIC program. The compute intensive algorithms are optimized through the use of C++/MEX, while the GUI is written mostly in m-code. If you find this content useful, please consider supporting. It has an accessible and intuitive GUI, uses many novel 2D DIC algorithms, is wholly contained within the MATLAB environment, and contains plotting tools for figure creation. The text is released under the CC-BY-NC-ND license, and code is released under the MIT license. Ncorr is an open source 2D digital image correlation MATLAB program.
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May 2023
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