Image processing and segmentation for fringe projection profilometry image

Fringe projection is a widely used technique in 3D scanning. However, one of the critical challenges in fringe projection is the accurate segmentation of fringe patterns from captured images. This project aims to explore and develop various image segmentation techniques to extract fringe patterns fr...

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Main Author: Tan, Jeremy Kiang Hwee
Other Authors: Qian Kemao
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2024
Subjects:
Online Access:https://hdl.handle.net/10356/175169
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1751692024-04-26T15:41:23Z Image processing and segmentation for fringe projection profilometry image Tan, Jeremy Kiang Hwee Qian Kemao School of Computer Science and Engineering MKMQian@ntu.edu.sg Computer and Information Science Image segmentation Computer vision Fringe projection is a widely used technique in 3D scanning. However, one of the critical challenges in fringe projection is the accurate segmentation of fringe patterns from captured images. This project aims to explore and develop various image segmentation techniques to extract fringe patterns from fringe projection profilometry images effectively. Objectives To develop and compare different image segmentation methods for extracting fringe patterns from fringe projection images. To assess the accuracy and efficiency of each segmentation method in real-world scenarios. To evaluate the effectiveness of the deep learning approaches in improving fringe pattern extraction. Purpose of the project The primary objective of this project is to develop and evaluate image processing and segmentation techniques specifically tailored for fringe projection profilometry images. Fringe projection images are commonly used in 3D scanning. Accurate segmentation of fringe projection profilometry images is crucial for extracting meaningful information and improving the quality of subsequent image processing tasks. Image segmentation using computer vision methods and deep learning methods is a widely research topic. The challenge of image processing and segmentation of fringe projection profilometry images has not been fully explored yet. This project aims to implement various techniques of image processing and segmentation of fringe projection profilometry images in aiding the extraction of information for 3D scanning. Bachelor's degree 2024-04-22T07:36:13Z 2024-04-22T07:36:13Z 2024 Final Year Project (FYP) Tan, J. K. H. (2024). Image processing and segmentation for fringe projection profilometry image. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/175169 https://hdl.handle.net/10356/175169 en SCSE23 - 0272 application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Computer and Information Science
Image segmentation
Computer vision
spellingShingle Computer and Information Science
Image segmentation
Computer vision
Tan, Jeremy Kiang Hwee
Image processing and segmentation for fringe projection profilometry image
description Fringe projection is a widely used technique in 3D scanning. However, one of the critical challenges in fringe projection is the accurate segmentation of fringe patterns from captured images. This project aims to explore and develop various image segmentation techniques to extract fringe patterns from fringe projection profilometry images effectively. Objectives To develop and compare different image segmentation methods for extracting fringe patterns from fringe projection images. To assess the accuracy and efficiency of each segmentation method in real-world scenarios. To evaluate the effectiveness of the deep learning approaches in improving fringe pattern extraction. Purpose of the project The primary objective of this project is to develop and evaluate image processing and segmentation techniques specifically tailored for fringe projection profilometry images. Fringe projection images are commonly used in 3D scanning. Accurate segmentation of fringe projection profilometry images is crucial for extracting meaningful information and improving the quality of subsequent image processing tasks. Image segmentation using computer vision methods and deep learning methods is a widely research topic. The challenge of image processing and segmentation of fringe projection profilometry images has not been fully explored yet. This project aims to implement various techniques of image processing and segmentation of fringe projection profilometry images in aiding the extraction of information for 3D scanning.
author2 Qian Kemao
author_facet Qian Kemao
Tan, Jeremy Kiang Hwee
format Final Year Project
author Tan, Jeremy Kiang Hwee
author_sort Tan, Jeremy Kiang Hwee
title Image processing and segmentation for fringe projection profilometry image
title_short Image processing and segmentation for fringe projection profilometry image
title_full Image processing and segmentation for fringe projection profilometry image
title_fullStr Image processing and segmentation for fringe projection profilometry image
title_full_unstemmed Image processing and segmentation for fringe projection profilometry image
title_sort image processing and segmentation for fringe projection profilometry image
publisher Nanyang Technological University
publishDate 2024
url https://hdl.handle.net/10356/175169
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