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EnglishThe goal of this work is to discuss a three-step-approach to detect, analyze and synthesize a shape given an image, or a sequence of images. Chapter 1 discusses what is a shape. The concept of shape is fuzzy: before delving with more complex topics we need at least to agree on what we call “shape”. Chapter 2 briefly present the biological case studies we used along the work. Chapter 3 deals with the single shape detection problem, the easiest problem one could face: given a single image with a single shape of interest, how do we design an algorithm to detect it? Chapter 4 extends the single shape detection approach to reticular shapes, a kind of shapes common in biological images. Chapter 5 extends the single shape detection approach (and its reticular analogous) to a sequence of images, exploiting the temporal coherence. Chapter 6 analyzes the shape, developing new metrics and measures, while chapter 7 closes the work dealing with the synthesis step. A special section is chapter 8, which covers the Toolbox we developed to detect shapes. The Toolbox is meant to provide functions reusable on a plethora of problems. Conclusions and future works are discussed in chapter 9.
The goal of this work is to discuss a three-step-approach to detect, analyze and synthesize a shape given an image, or a sequence of images. Chapter 1 discusses what is a shape. The concept of shape is fuzzy: before delving with more complex topics we need at least to agree on what we call “shape”. Chapter 2 briefly present the biological case studies we used along the work. Chapter 3 deals with the single shape detection problem, the easiest problem one could face: given a single image with a single shape of interest, how do we design an algorithm to detect it? Chapter 4 extends the single shape detection approach to reticular shapes, a kind of shapes common in biological images. Chapter 5 extends the single shape detection approach (and its reticular analogous) to a sequence of images, exploiting the temporal coherence. Chapter 6 analyzes the shape, developing new metrics and measures, while chapter 7 closes the work dealing with the synthesis step. A special section is chapter 8, which covers the Toolbox we developed to detect shapes. The Toolbox is meant to provide functions reusable on a plethora of problems. Conclusions and future works are discussed in chapter 9.
Dynamic shape detection and analysis of deformable structures in biomedical imaging / Silletti, Alberto. - (2009 Dec 21).
| Titolo: | Dynamic shape detection and analysis of deformable structures in biomedical imaging | |
| Autori: | ||
| Data di pubblicazione: | 21-dic-2009 | |
| Citazione: | Dynamic shape detection and analysis of deformable structures in biomedical imaging / Silletti, Alberto. - (2009 Dec 21). | |
| Abstract: | The goal of this work is to discuss a three-step-approach to detect, analyze and synthesize a shape given an image, or a sequence of images. Chapter 1 discusses what is a shape. The concept of shape is fuzzy: before delving with more complex topics we need at least to agree on what we call “shape”. Chapter 2 briefly present the biological case studies we used along the work. Chapter 3 deals with the single shape detection problem, the easiest problem one could face: given a single image with a single shape of interest, how do we design an algorithm to detect it? Chapter 4 extends the single shape detection approach to reticular shapes, a kind of shapes common in biological images. Chapter 5 extends the single shape detection approach (and its reticular analogous) to a sequence of images, exploiting the temporal coherence. Chapter 6 analyzes the shape, developing new metrics and measures, while chapter 7 closes the work dealing with the synthesis step. A special section is chapter 8, which covers the Toolbox we developed to detect shapes. The Toolbox is meant to provide functions reusable on a plethora of problems. Conclusions and future works are discussed in chapter 9. | |
| Handle: | http://hdl.handle.net/11577/3426902 | |
| Appare nelle tipologie: | 08.01 - Tesi di Dottorato UNIPD (Deposito Legale) |
File in questo prodotto:
| File | Descrizione | Tipologia | Licenza | |
|---|---|---|---|---|
| Silletti-phd_Thesis.pdf | Tesi di dottorato | Non specificato | Open Access Visualizza/Apri |
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