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Bachelor Thesis from the year 2015 in the subject Mathematics - Applied Mathematics, grade: 1,0, Friedrich-Alexander University Erlangen-Nuremberg (Angewandte Mathematik III), language: English, abstract: Segmentation is used to locate boundaries of an object in a given image. Finding those boundaries is important e.g. for visualizing three dimensional objects and measuring their surface or volume. Ideally, the boundaries coincide with the edges seen in the image. However, due to noise, partly missing information or in case of subjective contours the edges can be irregular and discontinuous. The human brain is able to perform visual completion that is to say it can in many cases complete those interrupted boundaries by filling in the missing gaps. Simple segmentation methods fail to do so, whereas the subjective surface method succeeds by sharpening the surface around the edges and connecting segmented boundaries across the gaps. Michael Fried is using finite elements with the subjective surface method resulting in an algorithm that detects interrupted boundaries as well as subjective contours in 2D. As an extension of Michael Fried's work, the algorithm presented in this thesis is able to complete missing boundary segments in 3D, smooth out the contours and perform modal completion.
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- PublisherGrin Verlag
- Publication date2017
- ISBN 10 3668256101
- ISBN 13 9783668256101
- BindingPaperback
- LanguageEnglish
- Number of pages42
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3D segmentation and boundary completion using subjective surface method
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Bachelor Thesis from the year 2015 in the subject Mathematics - Applied Mathematics, grade: 1,0, Friedrich-Alexander University Erlangen-Nuremberg (Angewandte Mathematik III), language: English, abstract: Segmentation is used to locate boundaries of an object in a given image. Finding those boundaries is important e.g. for visualizing three dimensional objects and measuring their surface or volume. Ideally, the boundaries coincide with the edges seen in the image. However, due to noise, partly missing information or in case of subjective contours the edges can be irregular and discontinuous. The human brain is able to perform visual completion that is to say it can in many cases complete those interrupted boundaries by filling in the missing gaps. Simple segmentation methods fail to do so, whereas the subjective surface method succeeds by sharpening the surface around the edges and connecting segmented boundaries across the gaps. Michael Fried is using finite elements with the subjective surface method resulting in an algorithm that detects interrupted boundaries as well as subjective contours in 2D. As an extension of Michael Fried's work, the algorithm presented in this thesis is able to complete missing boundary segments in 3D, smooth out the contours and perform modal completion. 40 pp. Englisch. Seller Inventory # 9783668256101
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3D segmentation and boundary completion using subjective surface method
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Bachelor Thesis from the year 2015 in the subject Mathematics - Applied Mathematics, grade: 1,0, Friedrich-Alexander University Erlangen-Nuremberg (Angewandte Mathematik III), language: English, abstract: Segmentation is used to locate boundaries of an object in a given image. Finding those boundaries is important e.g. for visualizing three dimensional objects and measuring their surface or volume. Ideally, the boundaries coincide with the edges seen in the image. However, due to noise, partly missing information or in case of subjective contours the edges can be irregular and discontinuous. The human brain is able to perform visual completion that is to say it can in many cases complete those interrupted boundaries by filling in the missing gaps. Simple segmentation methods fail to do so, whereas the subjective surface method succeeds by sharpening the surface around the edges and connecting segmented boundaries across the gaps. Michael Fried is using finite elements with the subjective surface method resulting in an algorithm that detects interrupted boundaries as well as subjective contours in 2D. As an extension of Michael Fried's work, the algorithm presented in this thesis is able to complete missing boundary segments in 3D, smooth out the contours and perform modal completion. Seller Inventory # 9783668256101
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3D segmentation and boundary completion using subjective surface method
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Taschenbuch. Condition: Neu. 3D segmentation and boundary completion using subjective surface method | Lina Gundelwein | Taschenbuch | Aus der Reihe: [.] stipendiaten-wissen | Paperback | 40 S. | Englisch | 2017 | GRIN Verlag | EAN 9783668256101 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Seller Inventory # 108127415
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