Titre :	Geometric Level Set Methods in Imaging, Vision, and Graphics
Type de document :	texte imprimé
Auteurs :	Stanley Osher, Auteur ; Nikos Paragios, Auteur
Editeur :	New York : Springer
Année de publication :	2006
Importance :	513 p.
Présentation :	couv. ill. en coul., ill.
Format :	24 cm.
ISBN/ISSN/EAN :	978-0-387-95488-2
Langues :	Anglais (eng)
Catégories :	AUTOMATISME
Index. décimale :	25-05 Application du traitement numérique du signal
Résumé :	Level set methods are emerging techniques for representing, deforming, and recovering structures in an arbitrary dimension across different fields (such as mathematics, fluid dynamics, graphics, imaging, and vision.). Advances in numerical analysis have led to computationally efficient tools for computing and analyzing interface motion within level set frameworks in a host of application settings. This authoritative, edited survey provides readers with the state-of-the-art in applying level set techniques in the imaging, vision, and graphics domains, presenting thematically grouped chapters contributed by leading experts from both industry and academia. The work bridges the theoretical foundations of level set methods with the latest significant applications. It will assist readers with both the technical aspects of the field as well as its practical ramifications for areas like medical imaging, computer animation, film restoration, video surveillance, visual inspection, and a range of scientific and engineering disciplines. The edited volume consists of a preface and 24 chapters organized in 9 thematic areas: Level Set Versus Langrangian Methods, Edge Detection & Boundary Extraction, Scale & Vector Image Reconstruction, Grouping, Knowledge-based Segmentation & Registration, Motion Analysis, Computational Stereo & Implicit Surfaces, Medical Image Analysis and Computer Graphics & Simulations. Topics and features: * Covers comprehensively the applications of imaging, vision, & graphics * Includes a helpful introductory survey chapter on level set methods * Provides a complete overview of concepts and advanced technologies in the field * Describes leading-edge research, providing insight into a variety of potential avenues for problem solving * Supplies numerous implementations, examples, and relevant and useful experimental results This essential resource carefully integrates the theoretical foundations of level set methods with their actual performance capabilities. Its clarity of organization and approach makes the book accessible for researchers and professionals working in the areas of vision, graphics, image processing, robotics, mathematics, and computational geometry.
Note de contenu :	Contents I Level Set Methods & Lagrangian Approaches 1 Level Set Methods 2 Deformable Models: Classic, Topology-Adaptive and Generalized Formulation II Edge Detection & Boundary Extraction 3 Fast Methods for Implicit Active Contour Model 4 Fast Edge Integration 5 Variational Snake Theory III Scalar & Vector Image Reconstruction, Restoration 6 Multiplicative Denoising and Deblurring: Theory and Algorithm 7 Total Variation Minimization for Scalar/Vector Regularization 8 Morphological Global Reconstruction and Levelings: Lattice and PDE Approaches IV Grouping 9 Fast Marching Techniques for Visual Grouping & Segmentation 10 Multiphase Object Detection and Image Segmentation 11 Adaptive Segmentation of Vector Valued Images 12 Mumford-Shah for Segmentation and Stereo V Knowledge-based Segmentation & Registration 13 Shape Analysis towards Model-based Segmentation 14 Joint Image Registration and Segmentation 15 Image Alignment VI Motion Analysis 16 Variational Principles in Optical Flow Estimation and Tracking 17 Region Matching and Tracking under Deformations or Occlusion VII Computational Stereo & Implicit Surfaces 18 Computational Stereo: A Variational Method 19 Visualization, Analysis and Shape Reconstruction of Sparse Data 20 Variational Problems and Partial Differential Equations on Implicit Surfaces: Bye Bye Triangulated Surfaces? VIII Medical Image Analysis 21 Knowledge-Based Segmentation of Medical Images 22 Topology Preserving Geometric Deformable Models for Brain Reconstruction IX Simulations & Graphics 23 Editing Geometric Models 24 Simulating Natural Phenomena

Geometric Level Set Methods in Imaging, Vision, and Graphics [texte imprimé] / Stanley Osher, Auteur ; Nikos Paragios, Auteur . - New York : Springer, 2006 . - 513 p. : couv. ill. en coul., ill. ; 24 cm.
ISBN : 978-0-387-95488-2
Langues : Anglais (eng)

Catégories :	AUTOMATISME
Index. décimale :	25-05 Application du traitement numérique du signal
Résumé :	Level set methods are emerging techniques for representing, deforming, and recovering structures in an arbitrary dimension across different fields (such as mathematics, fluid dynamics, graphics, imaging, and vision.). Advances in numerical analysis have led to computationally efficient tools for computing and analyzing interface motion within level set frameworks in a host of application settings. This authoritative, edited survey provides readers with the state-of-the-art in applying level set techniques in the imaging, vision, and graphics domains, presenting thematically grouped chapters contributed by leading experts from both industry and academia. The work bridges the theoretical foundations of level set methods with the latest significant applications. It will assist readers with both the technical aspects of the field as well as its practical ramifications for areas like medical imaging, computer animation, film restoration, video surveillance, visual inspection, and a range of scientific and engineering disciplines. The edited volume consists of a preface and 24 chapters organized in 9 thematic areas: Level Set Versus Langrangian Methods, Edge Detection & Boundary Extraction, Scale & Vector Image Reconstruction, Grouping, Knowledge-based Segmentation & Registration, Motion Analysis, Computational Stereo & Implicit Surfaces, Medical Image Analysis and Computer Graphics & Simulations. Topics and features: * Covers comprehensively the applications of imaging, vision, & graphics * Includes a helpful introductory survey chapter on level set methods * Provides a complete overview of concepts and advanced technologies in the field * Describes leading-edge research, providing insight into a variety of potential avenues for problem solving * Supplies numerous implementations, examples, and relevant and useful experimental results This essential resource carefully integrates the theoretical foundations of level set methods with their actual performance capabilities. Its clarity of organization and approach makes the book accessible for researchers and professionals working in the areas of vision, graphics, image processing, robotics, mathematics, and computational geometry.
Note de contenu :	Contents I Level Set Methods & Lagrangian Approaches 1 Level Set Methods 2 Deformable Models: Classic, Topology-Adaptive and Generalized Formulation II Edge Detection & Boundary Extraction 3 Fast Methods for Implicit Active Contour Model 4 Fast Edge Integration 5 Variational Snake Theory III Scalar & Vector Image Reconstruction, Restoration 6 Multiplicative Denoising and Deblurring: Theory and Algorithm 7 Total Variation Minimization for Scalar/Vector Regularization 8 Morphological Global Reconstruction and Levelings: Lattice and PDE Approaches IV Grouping 9 Fast Marching Techniques for Visual Grouping & Segmentation 10 Multiphase Object Detection and Image Segmentation 11 Adaptive Segmentation of Vector Valued Images 12 Mumford-Shah for Segmentation and Stereo V Knowledge-based Segmentation & Registration 13 Shape Analysis towards Model-based Segmentation 14 Joint Image Registration and Segmentation 15 Image Alignment VI Motion Analysis 16 Variational Principles in Optical Flow Estimation and Tracking 17 Region Matching and Tracking under Deformations or Occlusion VII Computational Stereo & Implicit Surfaces 18 Computational Stereo: A Variational Method 19 Visualization, Analysis and Shape Reconstruction of Sparse Data 20 Variational Problems and Partial Differential Equations on Implicit Surfaces: Bye Bye Triangulated Surfaces? VIII Medical Image Analysis 21 Knowledge-Based Segmentation of Medical Images 22 Topology Preserving Geometric Deformable Models for Brain Reconstruction IX Simulations & Graphics 23 Editing Geometric Models 24 Simulating Natural Phenomena