Digital image correlation
As a new and low-cost optical measurement technique to study the displacement and strain distribution on the surface of a planner specimen with high precision, twodimension digital image correlation (2D DIC) is now widely accepted and applied in many areas of picture or image processing. Th...
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sg-ntu-dr.10356-592582023-03-03T21:00:04Z Digital image correlation Lin, Sheng Qian Kemao School of Computer Engineering DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision As a new and low-cost optical measurement technique to study the displacement and strain distribution on the surface of a planner specimen with high precision, twodimension digital image correlation (2D DIC) is now widely accepted and applied in many areas of picture or image processing. This process, also known as template matching, is used to locate an object in a picture or match pieces of two images to one another in image registration. The 2D DIC technique is an optical method that uses a mathematical correlation analysis to examine digital image data taken. This technique consists of two main steps: consecutive images capturing during the deformation period and analyse the behaviour of the specimen while is subject to incremental loads. In this report, the methodology of implementing the 2D DIC that used in the project is reviewed and discussed. Detailed accuracy measurement and results analysis are provided. Proposals and suggestions for achieving a better accuracy measurement and further improvement are also recommended. The results of this project show a great application potential of the 2D DIC technique for various situations. Based on the simple surface preparation and the ability to acquire displacement/strain measurements over a large range of deformation, 2D DIC should serve as a valuable tool for varieties of researches and applications. Bachelor of Engineering (Computer Science) 2014-04-28T05:23:45Z 2014-04-28T05:23:45Z 2014 2014 Final Year Project (FYP) http://hdl.handle.net/10356/59258 en Nanyang Technological University 80 p. application/pdf |
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DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision Lin, Sheng Digital image correlation |
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As a new and low-cost optical measurement technique to study the displacement and
strain distribution on the surface of a planner specimen with high precision, twodimension
digital image correlation (2D DIC) is now widely accepted and applied in
many areas of picture or image processing. This process, also known as template
matching, is used to locate an object in a picture or match pieces of two images to
one another in image registration. The 2D DIC technique is an optical method that
uses a mathematical correlation analysis to examine digital image data taken. This
technique consists of two main steps: consecutive images capturing during the
deformation period and analyse the behaviour of the specimen while is subject to
incremental loads. In this report, the methodology of implementing the 2D DIC that
used in the project is reviewed and discussed. Detailed accuracy measurement and
results analysis are provided. Proposals and suggestions for achieving a better
accuracy measurement and further improvement are also recommended. The results
of this project show a great application potential of the 2D DIC technique for various
situations. Based on the simple surface preparation and the ability to acquire
displacement/strain measurements over a large range of deformation, 2D DIC should
serve as a valuable tool for varieties of researches and applications. |
author2 |
Qian Kemao |
author_facet |
Qian Kemao Lin, Sheng |
format |
Final Year Project |
author |
Lin, Sheng |
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Lin, Sheng |
title |
Digital image correlation |
title_short |
Digital image correlation |
title_full |
Digital image correlation |
title_fullStr |
Digital image correlation |
title_full_unstemmed |
Digital image correlation |
title_sort |
digital image correlation |
publishDate |
2014 |
url |
http://hdl.handle.net/10356/59258 |
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1759852986384777216 |