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Handbook of Convex Optimization Methods in Imaging Science, Vishal Monga


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Автор: Vishal Monga
Название:  Handbook of Convex Optimization Methods in Imaging Science
ISBN: 9783319616087
Издательство: Springer
Классификация:

ISBN-10: 3319616080
Обложка/Формат: Hardcover
Страницы: 228
Вес: 0.67 кг.
Язык: English
Размер: 254 x 178 x 16
Основная тема: Computer Science
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book covers recent advances in image processing and imaging sciences from an optimization viewpoint, especially convex optimization with the goal of designing tractable algorithms.


Efficient Algorithms for Global Optimization Methods in Computer Vision

Автор: Andr?s Bruhn; Thomas Pock; Xue-Cheng Tai
Название: Efficient Algorithms for Global Optimization Methods in Computer Vision
ISBN: 3642547737 ISBN-13(EAN): 9783642547737
Издательство: Springer
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Цена: 5590.00 р.
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Описание: This book constitutes the thoroughly refereed post-conference proceedings of the International Dagstuhl-Seminar on Efficient Algorithms for Global Optimization Methods in Computer Vision, held in Dagstuhl Castle, Germany, in November 2011.

Geometric Level Set Methods in Imaging, Vision, and Graphics

Автор: Osher Stanley, Paragios Nikos
Название: Geometric Level Set Methods in Imaging, Vision, and Graphics
ISBN: 0387954880 ISBN-13(EAN): 9780387954882
Издательство: Springer
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Цена: 16769.00 р.
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Описание: The topic of level sets is currently very timely and useful for creating realistic 3-D images and animations. They are powerful numerical techniques for analyzing and computing interface motion in a host of application settings. In computer vision, it has been applied to stereo and segmentation, whereas in graphics it has been applied to the postproduction process of in-painting and 3-D model construction.Osher is co-inventor of the Level Set Methods, a pioneering framework introduced jointly with James Sethian from the University of Berkeley in 1998. This methodology has been used up to now to provide solutions to a wide application range not limited to image processing, computer vision, robotics, fluid mechanics, crystallography, lithography, and computer graphics.The topic is of great interest to advanced students, professors, and R&D professionals working in the areas of graphics (post-production), video-based surveillance, visual inspection, augmented reality, document image processing, and medical image processing. These techniques are already employed to provide solutions and products in the industry (Cognitech, Siemens, Philips, Focus Imaging). An essential compilation of survey chapters from the leading researchers in the field, emphasizing the applications of the methods. This book can be suitable for a short professional course related with the processing of visual information.

Advances in Mathematical Modeling, Optimization and Optimal Control

Автор: Jean-Baptiste Hiriart-Urruty; Adam Korytowski; Hel
Название: Advances in Mathematical Modeling, Optimization and Optimal Control
ISBN: 3319307843 ISBN-13(EAN): 9783319307848
Издательство: Springer
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Цена: 10760.00 р.
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Описание:

This book contains extended, in-depth presentations of the plenary talks from the 16th French-German-Polish Conference on Optimization, held in Krak w, Poland in 2013. Each chapter in this book exhibits a comprehensive look at new theoretical and/or application-oriented results in mathematical modeling, optimization, and optimal control. Students and researchers involved in image processing, partial differential inclusions, shape optimization, or optimal control theory and its applications to medical and rehabilitation technology, will find this book valuable.

The first chapter by Martin Burger provides an overview of recent developments related to Bregman distances, which is an important tool in inverse problems and image processing. The chapter by Piotr Kalita studies the operator version of a first order in time partial differential inclusion and its time discretization. In the chapter by G nter Leugering, Jan Sokolowski and Antoni Żochowski, nonsmooth shape optimization problems for variational inequalities are considered. The next chapter, by Katja Mombaur is devoted to applications of optimal control and inverse optimal control in the field of medical and rehabilitation technology, in particular in human movement analysis, therapy and improvement by means of medical devices. The final chapter, by Nikolai Osmolovskii and Helmut Maurer provides a survey on no-gap second order optimality conditions in the calculus of variations and optimal control, and a discussion of their further development.

Swarm Stability and Optimization

Автор: Veysel Gazi; Kevin M. Passino
Название: Swarm Stability and Optimization
ISBN: 3642422705 ISBN-13(EAN): 9783642422706
Издательство: Springer
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Цена: 18284.00 р.
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Описание: Swarming species exhibit fascinating collective behaviors. Similarly, engineered multi-agent dynamic systems exhibit sophisticated collective behaviors while. In this book we show how to model and control a wide range of such multi-agent dynamic systems.

Imaging Measurement Methods for Flow Analysis

Автор: Wolfgang Nitsche; Christoph Dobriloff
Название: Imaging Measurement Methods for Flow Analysis
ISBN: 3642101704 ISBN-13(EAN): 9783642101700
Издательство: Springer
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Цена: 39182.00 р.
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Описание: Contains the results of the priority programme Imaging Measurement Methods for Flow Analysis conducted in 2003-2009. This book gives an overview of developments in the fields of image based flow measurements and analysis.

Computational Methods and Clinical Applications for Spine Imaging

Автор: Vrtovec
Название: Computational Methods and Clinical Applications for Spine Imaging
ISBN: 3319418262 ISBN-13(EAN): 9783319418261
Издательство: Springer
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Цена: 5870.00 р.
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Описание: This book constitutes the refereed proceedings of the Third International Workshop and Challenge on Computational Methods and Clinical Applications for Spine Imaging, CSI 2015, held in conjunction with MICCAI 2015, in Munich, Germany, in October 2015.

Splitting Methods in Communication, Imaging, Science, and Engineering

Автор: Roland Glowinski; Stanley J. Osher; Wotao Yin
Название: Splitting Methods in Communication, Imaging, Science, and Engineering
ISBN: 3319415875 ISBN-13(EAN): 9783319415871
Издательство: Springer
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Цена: 22779.00 р.
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Описание: This book is about computational methods based on operator splitting.

Recent Advances in Computational Methods and Clinical Applications for Spine Imaging

Автор: Jianhua Yao; Ben Glocker; Tobias Klinder; Shuo Li
Название: Recent Advances in Computational Methods and Clinical Applications for Spine Imaging
ISBN: 3319385992 ISBN-13(EAN): 9783319385990
Издательство: Springer
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Цена: 14365.00 р.
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Описание: This book contains the full papers presented at the MICCAI 2014 workshop on Computational Methods and Clinical Applications for Spine Imaging. The workshop brought together scientists and clinicians in the field of computational spine imaging. The chapters included in this book present and discuss the new advances and challenges in these fields, using several methods and techniques in order to address more efficiently different and timely applications involving signal and image acquisition, image processing and analysis, image segmentation, image registration and fusion, computer simulation, image based modeling, simulation and surgical planning, image guided robot assisted surgical and image based diagnosis.

The book also includes papers and reports from the first challenge on vertebra segmentation held at the workshop.

Level Set and PDE Based Reconstruction Methods in Imaging

Автор: Martin Burger; Andrea C.G. Mennucci; Stanley Osher
Название: Level Set and PDE Based Reconstruction Methods in Imaging
ISBN: 331901711X ISBN-13(EAN): 9783319017112
Издательство: Springer
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Цена: 6288.00 р.
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Описание: This book takes readers on a tour through modern methods in image analysis and reconstruction based on level set and PDE techniques, the major focus being on morphological and geometric structures in images.

Algorithms for Sparsity-Constrained Optimization

Автор: Sohail Bahmani
Название: Algorithms for Sparsity-Constrained Optimization
ISBN: 3319377191 ISBN-13(EAN): 9783319377193
Издательство: Springer
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Цена: 15672.00 р.
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Описание: This thesis presents a wholly new technique in the structural analysis of data that uses a `greedy` algorithm to derive optimal sparse solutions, enabling faster and more accurate results in formerly problematic areas of machine learning and signal processing.

Computational Methods in Molecular Imaging Technologies

Автор: Vinit Kumar Gunjan; Fahimuddin Shaik; C Venkatesh;
Название: Computational Methods in Molecular Imaging Technologies
ISBN: 9811046352 ISBN-13(EAN): 9789811046353
Издательство: Springer
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Цена: 7685.00 р.
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Описание:

This book highlights the experimental investigations that have been carried out on magnetic resonance imaging and computed tomography (MRI & CT) images using state-of-the-art Computational Image processing techniques, and tabulates the statistical values wherever necessary. In a very simple and straightforward way, it explains how image processing methods are used to improve the quality of medical images and facilitate analysis. It offers a valuable resource for researchers, engineers, medical doctors and bioinformatics experts alike.

Computational Methods for Molecular Imaging

Автор: Fei Gao; Kuangyu Shi; Shuo Li
Название: Computational Methods for Molecular Imaging
ISBN: 331938662X ISBN-13(EAN): 9783319386621
Издательство: Springer
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Цена: 14365.00 р.
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Описание:

Part 1 - Computational Methods.- A Review of Computational Methods for Molecular Imaging, by Fei Gao, Pengcheng Shi.- Fuzzy Connectedness Image Co-Segmentation for Hybrid PET/MRI and PET/CT Scans, by Ziyue Xu, Ulas Bagci, Jayaram Udupa, Daniel Mollura.- PET/MRI/VCT: Restoration of Virtual CT from Transmission Scan on PET/MRI using Joint-Anisotropic Diffusion, by Kuangyu Shi, Xiaoyin Cheng, Nassir Navab, Stefan Foerster, Sibylle I. Ziegler.- Large Scale Simplex Optimisation to Accelerate Kinetic Analysis, by Nicholas Dowson, Paul Thomas, Jye Smith, Olivier Salvado, Stephen Rose.- Gradient Projection for Regularized Cryo-Electron Tomographic Reconstruction, by Shadi Albarqouni, Tobias Lasser, Weaam Alkhaldi, Ashraf Al-Amoudi, Nassir Navab.- Joint direct motion estimation/kinetic images reconstruction from gated PET data, by Alexandre Bousse, Jieqing Jiao, Kris Thielemans, Sebastien Ourselin, David Atkinson, Brian Hutton.- Effect of the Mouth Motion in the Attenuation Correction in Neurological PET Studies, by Joaquin Herraiz, Angel Torrado-Carvajal, Norberto Malpica, Juan Hernandez-Tamames.- Dual Estimation of Activity Maps and Kinetic Parameters for Dynamic PET Imaging, by Jingjia Xu, Huafeng Liu, Pengcheng Shi, Fei Gao.- Time-Activity Curve based Sinogram Decomposition for Streak Artifacts Reduction in Dynamic PET Reconstruction, by Xiaoyin Cheng, Jun Liu, Jakob Vogel, Zhen Liu, Nassir Navab, Sibylle Ziegler, Kuangyu Shi.- Part 2 - Clinical Applications.- 4-D PET-MR with Volumetric Navigators and Compressed Sensing, by Stefano Pedemonte, Ciprian Catana, Koen Van Leemput.- Robust Feature Selection to Predict Lung Tumor Recurrence Hongmei Mi, Caroline Petitjean, Pierre Vera, Su Ruan.- Region-based Data-driven Intensity Normalization for Group Comparison of Functional Brain Images, by Zhiyong Xie, Aijun Zhu, Laigao Chen, Timothy McCarthy.- A reaction-diffusion simulation model of 18F-FDG PET imaging for the quantitative interpretation of cancerous metabolism, by Qian Wang, Zhen Liu, Sibylle I. Ziegler, Kuangyu Shi.- Generation of MR-based Attenuation Correction Map of PET Images in the Brain Employing Joint Segmentation of Skull and Soft-Tissue from Single Short-TE MR Imaging Modality, by Anahita Fathi Kazerooni, Mohammad Hadi A'arabi, Hamidreza Saligheh Rad.- Query by Image of Brain SPECT Database, by David Wack, Feyza Erenler, Robert Miletich.- Age-related Glucose Metabolism Changes in Brain, by Xiaoyan Shen, Zhiliang Liu, Zhenghui Hu, Huafeng Liu.- Investigation of Single- Versus Joint-Modality PET-MR Registration for 18F-Florbetapir Quantification: Application to Alzheimer's Disease, by Liam Cattell, Julia Schnabel, Jerome Declerck, Chloe Hutton.


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