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Thematische Bibliographien / Skeleton segmentation / Dissertationen

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Dissertationen zum Thema „Skeleton segmentation“

Autor: Grafiati

Veröffentlicht am 25. Juni 2021

Zuletzt aktualisiert am 29. Juli 2025

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1

Hedström, Anders. "Automatic Segmentation of Skeleton in Whole-Body MR Images." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-211221.

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Magnetic Resonance Imaging(MRI) has developed as a widespread technique to examine various body parts and diagnose a wide range of diseases. MRI can often be superior to other imaging techniques such as Computed Tomography(CT) since it does not use ionizing radiation and can give a clearer image of soft tissue. As MRI becomes a more important part in medicine the demands on software to analyse the images and extract useful information increases. Today medical image analysis can be used to localise tumours, measure brain substance and to isolate specific organs. Although much has happened in th

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Lidayová, Kristína. "Fast Methods for Vascular Segmentation Based on Approximate Skeleton Detection." Doctoral thesis, Uppsala universitet, Avdelningen för visuell information och interaktion, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-318796.

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Modern medical imaging techniques have revolutionized health care over the last decades, providing clinicians with high-resolution 3D images of the inside of the patient's body without the need for invasive procedures. Detailed images of the vascular anatomy can be captured by angiography, providing a valuable source of information when deciding whether a vascular intervention is needed, for planning treatment, and for analyzing the success of therapy. However, increasing level of detail in the images, together with a wide availability of imaging devices, lead to an urgent need for automated t

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Pérez, Rocha Ana Laura. "Segmentation and Line Filling of 2D Shapes." Thèse, Université d'Ottawa / University of Ottawa, 2013. http://hdl.handle.net/10393/23676.

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The evolution of technology in the textile industry reached the design of embroidery patterns for machine embroidery. In order to create quality designs the shapes to be embroidered need to be segmented into regions that define different parts. One of the objectives of our research is to develop a method to automatically segment the shapes and by doing so making the process faster and easier. Shape analysis is necessary to find a suitable method for this purpose. It includes the study of different ways to represent shapes. In this thesis we focus on shape representation through its skeleton.

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HE, LEI. "A COMPARISON OF DEFORMABLE CONTOUR METHODS AND MODEL BASED APPROACH USING SKELETON FOR SHAPE RECOVERY FROM IMAGES." University of Cincinnati / OhioLINK, 2003. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1059746287.

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5

Belbaisi, Adham. "Deep Learning-Based Skeleton Segmentation for Analysis of Bone Marrow and Cortical Bone in Water-Fat Magnetic Resonance Imaging." Thesis, KTH, Skolan för kemi, bioteknologi och hälsa (CBH), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-297528.

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A major health concern for subjects with diabetes is weaker bones and increased fracture risk. Current clinical assessment of the bone strength is performed by measuring Bone Mineral Density (BMD), where low BMD-values are associated with an increased risk of fracture. However, subjects with Type 2 Diabetes (T2D) have been shown to have normal or higher BMD-levels compared to healthy controls, which does not reflect the recognized bone fragility among diabetics. Thus, there is need for more research about diabetes-related bone fragility to find other factors of impaired bone health. One potent

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Limkhaitir, Mohamed Mahmoud. "Modélisation des formes volumiques à partir d'images tomographiques 3D : application à la Caractérisation de l'espace poral du sol." Thesis, Paris 6, 2014. http://www.theses.fr/2014PA066556.

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Nous présentations dans ce travail une méthode de représentation des formes volumiques 3D complexes. Nous dé nissons une forme volumique 3D par un ensemble de voxels extrait d'un traitement d'images Tomographiques 3D. cet ensemble est définit par sa fonction indicatrice. Notre objectif est le calcul d'une approximation analytique continue par morceau, compact, stable et robuste de la forme initiale, qui conserve ses propriétés topologiques et géométriques. Nous proposons une description de la forme par un ensemble minimum de boules incluses dans la forme et recouvrant son squelette. Nous démon

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LIVESU, MARCO. "Understanding the Structure of 3D Shapes." Doctoral thesis, Università degli Studi di Cagliari, 2014. http://hdl.handle.net/11584/266500.

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Compact representations of three dimensional objects are very often used in computer graphics to create effective ways to analyse, manipulate and transmit 3D models. Their ability to abstract from the concrete shapes and expose their structure is important in a number of applications, spanning from computer animation, to medicine, to physical simulations. This thesis will investigate new methods for the generation of compact shape representations. In the first part, the problem of computing optimal PolyCube base complexes will be considered. PolyCubes are orthogonal polyhedra used in c

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Limkhaitir, Mohamed Mahmoud. "Modélisation des formes volumiques à partir d'images tomographiques 3D : application à la Caractérisation de l'espace poral du sol." Electronic Thesis or Diss., Paris 6, 2014. http://www.theses.fr/2014PA066556.

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Nous présentations dans ce travail une méthode de représentation des formes volumiques 3D complexes. Nous dé nissons une forme volumique 3D par un ensemble de voxels extrait d'un traitement d'images Tomographiques 3D. cet ensemble est définit par sa fonction indicatrice. Notre objectif est le calcul d'une approximation analytique continue par morceau, compact, stable et robuste de la forme initiale, qui conserve ses propriétés topologiques et géométriques. Nous proposons une description de la forme par un ensemble minimum de boules incluses dans la forme et recouvrant son squelette. Nous démon

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Erdem, Mehmet Erkut. "Simultaneous Bottom-up/top-down Processing In Early And Mid Level Vision." Phd thesis, METU, 2008. http://etd.lib.metu.edu.tr/upload/12610167/index.pdf.

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The prevalent view in computer vision since Marr is that visual perception is a data-driven bottom-up process. In this view, image data is processed in a feed-forward fashion where a sequence of independent visual modules transforms simple low-level cues into more complex abstract perceptual units. Over the years, a variety of techniques has been developed using this paradigm. Yet an important realization is that low-level visual cues are generally so ambiguous that they could make purely bottom-up methods quite unsuccessful. These ambiguities cannot be resolved without taking account of high-

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Gopalan, Sowmya. "Estimating Columnar Grain Size in Steel-Weld Images using Image Processing Techniques." The Ohio State University, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=osu1250621610.

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11

Essafi, Salma. "3D Knowledge-based Segmentation Using Sparse Hierarchical Models : contribution and Applications in Medical Imaging." Phd thesis, Ecole Centrale Paris, 2010. http://tel.archives-ouvertes.fr/tel-00534805.

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CETTE thèse est consacrée à la conception d'un système d'aide au diagnostic dédiéau muscle squelettique humain. Au cours du premier volet de ce manuscrit nousproposons une nouvelle représentation basée sur les modèles parcimonieux dans le cadrede la segmentation d'Images de Résonances Magnétiques (IRM) T1 du muscle squelettiquedu mollet. Notre méthode Sparse Shape Model/ Modèle de Formes Parcimonieux(MFP), apprend un modèle statistique de formes et de textures locales annoté et réussità en tirer une représentation réduite afin de reconstruire le mécanisme musculaire sur unexemple test. Dans la

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Karlsson, Edlund Patrick. "Methods and models for 2D and 3D image analysis in microscopy, in particular for the study of muscle cells." Doctoral thesis, Uppsala : Acta Universitatis Upsaliensis, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-9201.

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13

Kang, Han. "Contribution to automatic corporal tissue classification by integrating qualitative medical knowledge : application to the analysis of musculo skeletal diseases and disabilities from MRI sequences." Valenciennes, 2009. http://ged.univ-valenciennes.fr/nuxeo/site/esupversions/127272e9-4071-4c58-8b9d-b80fd5395c78.

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Dans le diagnostic médical utilisant des images IRM, les techniques de segmentation et de classification d'images jouent un rôle important. La segmentation avec les niveaux de gris et la texture conduit souvent à des résultats peu satisfaisants, parce que ces caractéristiques générales ne peuvent pas prendre en compte les connaissances spécialisées. Par conséquent, il est nécessaire d'intégrer des connaissances a priori sur l'analyse des images médicales pour obtenir de meilleurs résultats de la classification des tissus. Dans ce contexte, deux principales contributions ont été proposées en vu

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Huang, Shao-I., and 黃紹奕. "Parallel 3D printing : Skeleton Awared Mesh Segmentation to Design Assemble Junction." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/93mns9.

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碩士<br>國立臺灣科技大學<br>資訊工程系<br>105<br>As a result of the 3D printing technology and the popularity of machinery, many crafts using three-dimensional printing to replace the traditional way of presenting. However, three-dimensional printing and commercial use often have high cost, too large and long print time. These factors are often considered whether the use of three-dimensional printing in the use of traditional three-dimensional presentation of the group. Therefore, this thesis proposed to disassemble the three-dimensional model, reduce costs and solve the huge problem of objects. We use the 3

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Jardim, David Walter Figueira. "Human activity recognition and prediction in RGB-D videos." Doctoral thesis, 2018. http://hdl.handle.net/10071/19571.

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Reconhecimento de atividade humana é uma área de investigação multidisciplinar que tem atraído o interesse de investigadores especializados em aprendizagem automática, visão por computador e medicina. Esta área tem diversas aplicações: sistemas de vigilância, interação homem-máquina, análise de desportos, robôs colaborativos, saúde e automóveis autónomos. Capturar atividade humana apresenta diﬁculdades técnicas como oclusão, iluminação insuﬁciente, seguimento erróneo e questões éticas. O movimento humano pode ser ambíguo e com múltiplas intenções. A forma como interagimos com outros seres huma

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