Image registration
In the current Third Industrial Revolution, Image Registration is often used in the area such as X-ray Images, Satellites Images (Earth, Planets and Monitoring of Space) and Real Time Motion Tracking to enhance life by Research and Development (R&D). Basically, Image Registration is a process wh...
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| Format: | Final Year Project |
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2018
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| Online Access: | http://hdl.handle.net/10356/75397 |
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| Institution: | Nanyang Technological University |
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sg-ntu-dr.10356-753972023-07-07T16:29:33Z Image registration Tan, Jun Hao Chua Chin Seng School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering In the current Third Industrial Revolution, Image Registration is often used in the area such as X-ray Images, Satellites Images (Earth, Planets and Monitoring of Space) and Real Time Motion Tracking to enhance life by Research and Development (R&D). Basically, Image Registration is a process whereby multiple images which overlapping areas are being “combined” or “stitched” into one. Therefore, the quality of the result produced depends on the feature detection. Although there are many detection techniques available, each has its advantages and disadvantages for different type of features. For this project, a detection technique called the Speeded Up Robust Features (SURF) will be used. It is a modified technique much faster than Scale Invariant Features Transform (SIFT). Furthermore, M-Estimator will be used for detection of inliers and outliers. Similarly, the M-estimator is a modified technique of the Random Sample Consensus (RANSAC). Bachelor of Engineering 2018-05-31T03:22:58Z 2018-05-31T03:22:58Z 2018 Final Year Project (FYP) http://hdl.handle.net/10356/75397 en Nanyang Technological University 48 p. application/pdf |
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Nanyang Technological University |
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NTU Library |
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Asia |
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Singapore Singapore |
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NTU Library |
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English |
| topic |
DRNTU::Engineering::Electrical and electronic engineering |
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DRNTU::Engineering::Electrical and electronic engineering Tan, Jun Hao Image registration |
| description |
In the current Third Industrial Revolution, Image Registration is often used in the area such as X-ray Images, Satellites Images (Earth, Planets and Monitoring of Space) and Real Time Motion Tracking to enhance life by Research and Development (R&D). Basically, Image Registration is a process whereby multiple images which overlapping areas are being “combined” or “stitched” into one. Therefore, the quality of the result produced depends on the feature detection. Although there are many detection techniques available, each has its advantages and disadvantages for different type of features. For this project, a detection technique called the Speeded Up Robust Features (SURF) will be used. It is a modified technique much faster than Scale Invariant Features Transform (SIFT). Furthermore, M-Estimator will be used for detection of inliers and outliers. Similarly, the M-estimator is a modified technique of the Random Sample Consensus (RANSAC). |
| author2 |
Chua Chin Seng |
| author_facet |
Chua Chin Seng Tan, Jun Hao |
| format |
Final Year Project |
| author |
Tan, Jun Hao |
| author_sort |
Tan, Jun Hao |
| title |
Image registration |
| title_short |
Image registration |
| title_full |
Image registration |
| title_fullStr |
Image registration |
| title_full_unstemmed |
Image registration |
| title_sort |
image registration |
| publishDate |
2018 |
| url |
http://hdl.handle.net/10356/75397 |
| _version_ |
1772827377265541120 |