2D object segmentation and matching using B-spline model
Including: 2 parts. This thesis presents a research work on object segmentation and matching using a Bspline model. The B-spline is selected here as a curve representation to describe the object contour as it possesses very attractive properties such as compact representation, invariance under affi...
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sg-ntu-dr.10356-37072023-07-04T17:36:22Z 2D object segmentation and matching using B-spline model Wang, Yue Teoh, Eam Khwang School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing Including: 2 parts. This thesis presents a research work on object segmentation and matching using a Bspline model. The B-spline is selected here as a curve representation to describe the object contour as it possesses very attractive properties such as compact representation, invariance under affine transformation, local shape controllability, smoothness and continuity. In this thesis, the problem of object segmentation is first addressed and followed by curve matching. In object segmentation, we concentrate on developing a new knowledge-based B-snake model where a series of novel algorithms are proposed and implemented. DOCTOR OF PHILOSOPHY (EEE) 2008-09-17T09:35:39Z 2008-09-17T09:35:39Z 2005 2005 Thesis Wang, Y. (2005). 2D object segmentation and matching using B-spline model. Doctoral thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/3707 10.32657/10356/3707 Nanyang Technological University 107 p. application/pdf application/pdf |
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DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing Wang, Yue 2D object segmentation and matching using B-spline model |
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Including: 2 parts. This thesis presents a research work on object segmentation and matching using a Bspline
model. The B-spline is selected here as a curve representation to describe the object contour as it possesses very attractive properties such as compact representation, invariance under affine transformation, local shape controllability, smoothness and continuity. In this thesis, the problem of object segmentation is first addressed and followed by curve matching. In object segmentation, we concentrate on developing a new knowledge-based B-snake model where a series of novel algorithms are proposed and implemented. |
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Teoh, Eam Khwang |
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Teoh, Eam Khwang Wang, Yue |
format |
Theses and Dissertations |
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Wang, Yue |
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Wang, Yue |
title |
2D object segmentation and matching using B-spline model |
title_short |
2D object segmentation and matching using B-spline model |
title_full |
2D object segmentation and matching using B-spline model |
title_fullStr |
2D object segmentation and matching using B-spline model |
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2D object segmentation and matching using B-spline model |
title_sort |
2d object segmentation and matching using b-spline model |
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2008 |
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https://hdl.handle.net/10356/3707 |
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1772826826715955200 |