Digital image correlation

• Main Author: Goh, Si Yi.
• Other Authors: Qian Kemao
• Format: Final Year Project
• Language: English
• Published: 2013
• Subjects: DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
• Online Access: http://hdl.handle.net/10356/52529
• Institution: Nanyang Technological University

Two-dimensional Digital Image Correlation (2D DIC) is a practical and effective tool for qualitative in-plane deformation measurement of a planar surface object. It is widely accepted in the field of experimental mechanics. In this project, software is designed to realize commonly used algorithms in Two-dimensional digital image correlation (2D DIC). The purpose of this project is to investigate the commonly used methods in 2D DIC. Hence, methodologies of 2D DIC techniques for displacement measurement are provided in detail and to the scope of the author’s understanding. The techniques include the usage of normalized cross correlation to find the pixel level displacement and the use of bi-cubic interpolation to find the sub-pixel displacement of the pixels. This report will also cover the software design procedure and details from the user interface and the 2D DIC methods implemented with the results, analysis and discussions. The backbone of this project is built based on several mathematical equations which will be shared in chapter 2 and 3. The final product of this project is made into an executable program which can be executed in DOS environment. The results of this project can be seen from the screenshots posted in the report as well. For future work, the author suggests that different programming languages can be used in the making of 2D DIC software as MATLAB® is limited in the user interface as compared to other languages, such as Java™. However, MATLAB® is very useful in the development of the backend of this 2D DIC software. The final product of this project is created as a standalone application which can be run on UNIX systems and Microsoft Windows. The application includes the pixel and sub-pixel analysis which will be discussed in detail in the report.