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https://hdl.handle.net/10356/43906
Title: | Digital image correlation : from integer pixel to sub-pixel | Authors: | Wicaksono, Anjar Puji. | Keywords: | DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision DRNTU::Engineering::Computer science and engineering::Computing methodologies::Pattern recognition |
Issue Date: | 2011 | Abstract: | 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. | URI: | http://hdl.handle.net/10356/43906 | Schools: | School of Computer Engineering | Research Centres: | Game Lab | Rights: | Nanyang Technological University | Fulltext Permission: | restricted | Fulltext Availability: | With Fulltext |
Appears in Collections: | SCSE Student Reports (FYP/IA/PA/PI) |
Files in This Item:
File | Description | Size | Format | |
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Anjar Puji Wicaksono.pdf Restricted Access | Main report | 1.97 MB | Adobe PDF | View/Open |
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