Digital image correlation : from integer pixel to sub-pixel

• Main Author: Wicaksono, Anjar Puji.
• Other Authors: Qian Kemao
• Format: Final Year Project
• Language: English
• Published: 2011
• Subjects: DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision; DRNTU::Engineering::Computer science and engineering::Computing methodologies::Pattern recognition
• Online Access: http://hdl.handle.net/10356/43906
• Institution: Nanyang Technological University

In collaboration with the advancement of computer technology and digital image acquisition (digital imaging), Digital Image Correlation (DIC) technique is getting more common in analyzing strain/deformation on the surface. This report investigates the basic method of digital image correlation (DIC), limitation, and implementation on strain analysis. Simple DIC could predict up to 1 pixel accuracy. To get more accuracy, there have been several famous techniques based on previous research such as Gradient-Based method, Newton-Raphson Method, and Curve-Fitting method. This report gives comparison on performance of those techniques as proof of concept and its importance to strain/deformation analysis.