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Etude Dune Methode De Segmentation Dimages Obtenues En Resonance Magnetique En Vue Dune Quantification
Download Etude Dune Methode De Segmentation Dimages Obtenues En Resonance Magnetique En Vue Dune Quantification full books in PDF, epub, and Kindle. Read online Etude Dune Methode De Segmentation Dimages Obtenues En Resonance Magnetique En Vue Dune Quantification ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Book Synopsis The Memetics of Music by : Steven B. Jan
Download or read book The Memetics of Music written by Steven B. Jan and published by Ashgate Publishing, Ltd.. This book was released on 2007 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt: Richard Dawkins's formulation of the meme concept in his 1976 classic The Selfish Gene has inspired three decades of work in what many see as the burgeoning science of memetics. This study is the first musicologically-orientated attempt systematically to apply the theory of memetics to music. In contrast to the two points of view normally adopted in music theory and analysis - namely those of the listener and the composer - the purpose of this book is to argue for a distinct and illuminating third perspective. The perspective is that of the (selfish) replicated musical pattern itself, and adopting it is central to memetics.
Book Synopsis Hydrology of Mediterranean and Semiarid Regions by : Eric Servat
Download or read book Hydrology of Mediterranean and Semiarid Regions written by Eric Servat and published by . This book was released on 2003 with total page 518 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Low Frequency Scattering by : George Dassios
Download or read book Low Frequency Scattering written by George Dassios and published by Oxford University Press. This book was released on 2000 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: Scattering theory deals with the interactions of waves with obstacles in their path, and low frequency scattering occurs when the obstacles involved are very small. This book gives an overview of the subject for graduates and researchers, for the first time unifying the theories covering acoustic, electromagnetic and elastic waves.
Book Synopsis Hypersonic Flow Theory by : Wallace Hayes
Download or read book Hypersonic Flow Theory written by Wallace Hayes and published by Elsevier. This book was released on 2012-12-02 with total page 481 pages. Available in PDF, EPUB and Kindle. Book excerpt: Hypersonic Flow Theory presents the fundamentals of fluid mechanics, focusing on the hypersonic flow theory and approaches in theoretical aerodynamics. This book discusses the assumptions underlying hypersonic flow theory, unified supersonic-hypersonic similitude, two-dimensional and axisymmetric bodies, and circular cylinder. The constant-streamtube-area approximation, streamtube-continuity methods, and tangent-wedge and tangent-cone are also deliberated. This text likewise covers the similar laminar boundary layer solutions, bluntness induced interactions on slender bodies, and free molecule transfer theory. The dynamics of hypersonic flight or hypersonic wing theory, magnetohydrodynamic theory, or any developments involving treatment of the Boltzmann equation are not included. This publication is intended for hypersonic aerodynamicists, students, and researchers conducting work on the hypersonic flow phenomena.
Book Synopsis The Hydrology of the Nile by : John V. Sutcliffe
Download or read book The Hydrology of the Nile written by John V. Sutcliffe and published by . This book was released on 1999 with total page 206 pages. Available in PDF, EPUB and Kindle. Book excerpt: Its scope can be seen from the list of contents overleaf.
Book Synopsis The Hydrology-geomorphology Interface by : Marwan A. Hassan
Download or read book The Hydrology-geomorphology Interface written by Marwan A. Hassan and published by IAHS Press. This book was released on 2000 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Remote Sensing and Hydrology 2000 by : Manfred Owe
Download or read book Remote Sensing and Hydrology 2000 written by Manfred Owe and published by . This book was released on 2001 with total page 632 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Agricultural Effects on Ground and Surface Waters by : J. H. A. M. Steenvoorden
Download or read book Agricultural Effects on Ground and Surface Waters written by J. H. A. M. Steenvoorden and published by . This book was released on 2002 with total page 428 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Probabilistic Modeling for Segmentation in Magnetic Resonance Images of the Human Brain by : Michael Wels
Download or read book Probabilistic Modeling for Segmentation in Magnetic Resonance Images of the Human Brain written by Michael Wels and published by Logos Verlag Berlin GmbH. This book was released on 2010 with total page 147 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this book the fully automatic generation of semantic annotations for medical imaging data by means of medical image segmentation and labeling is addressed. In particular, the focus is on the segmentation of the human brain and related structures from magnetic resonance imaging (MRI) data. Three novel probabilistic methods from the field of database-guided knowledge-based medical image segmentation are presented. Each of the methods is applied to one of three MRI segmentation scenarios: 1) 3-D MRI brain tissue classification and intensity non-uniformity correction, 2) pediatric brain cancer segmentation in multi-spectral 3-D MRI, and 3) 3-D MRI anatomical brain structure segmentation. All the newly developed methods make use of domain knowledge encoded by probabilistic boosting-trees (PBT), which is a recent machine learning technique. For all the methods uniform probabilistic formalisms are presented that group the methods into the broader context of probabilistic modeling for the purpose of image segmentation. It is shown by comparison with other methods from the literature that in all the scenarios the newly developed algorithms in most cases give more accurate results and have a lower computational cost. Evaluation on publicly available benchmarking data sets ensures reliable comparability of the results to those of other current and future methods. One of the methods successfully participated in the ongoing online caudate segmentation challenge (www.cause07.org), where it ranks among the top five methods for this particular segmentation scenario.
Book Synopsis Statistical Models for Segmentation from MR Localizer Images by : Matthias Fenchel
Download or read book Statistical Models for Segmentation from MR Localizer Images written by Matthias Fenchel and published by . This book was released on 2010 with total page 110 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Variational and Level Set Methods in Image Segmentation by : Amar Mitiche
Download or read book Variational and Level Set Methods in Image Segmentation written by Amar Mitiche and published by Springer Science & Business Media. This book was released on 2010-10-22 with total page 192 pages. Available in PDF, EPUB and Kindle. Book excerpt: Image segmentation consists of dividing an image domain into disjoint regions according to a characterization of the image within or in-between the regions. Therefore, segmenting an image is to divide its domain into relevant components. The efficient solution of the key problems in image segmentation promises to enable a rich array of useful applications. The current major application areas include robotics, medical image analysis, remote sensing, scene understanding, and image database retrieval. The subject of this book is image segmentation by variational methods with a focus on formulations which use closed regular plane curves to define the segmentation regions and on a level set implementation of the corresponding active curve evolution algorithms. Each method is developed from an objective functional which embeds constraints on both the image domain partition of the segmentation and the image data within or in-between the partition regions. The necessary conditions to optimize the objective functional are then derived and solved numerically. The book covers, within the active curve and level set formalism, the basic two-region segmentation methods, multiregion extensions, region merging, image modeling, and motion based segmentation. To treat various important classes of images, modeling investigates several parametric distributions such as the Gaussian, Gamma, Weibull, and Wishart. It also investigates non-parametric models. In motion segmentation, both optical flow and the movement of real three-dimensional objects are studied.
Download or read book Image Segmentation written by Tao Lei and published by John Wiley & Sons. This book was released on 2022-09-26 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: Image Segmentation Summarizes and improves new theory, methods, and applications of current image segmentation approaches, written by leaders in the field The process of image segmentation divides an image into different regions based on the characteristics of pixels, resulting in a simplified image that can be more efficiently analyzed. Image segmentation has wide applications in numerous fields ranging from industry detection and bio-medicine to intelligent transportation and architecture. Image Segmentation: Principles, Techniques, and Applications is an up-to-date collection of recent techniques and methods devoted to the field of computer vision. Covering fundamental concepts, new theories and approaches, and a variety of practical applications including medical imaging, remote sensing, fuzzy clustering, and watershed transform. In-depth chapters present innovative methods developed by the authors—such as convolutional neural networks, graph convolutional networks, deformable convolution, and model compression—to assist graduate students and researchers apply and improve image segmentation in their work. Describes basic principles of image segmentation and related mathematical methods such as clustering, neural networks, and mathematical morphology. Introduces new methods for achieving rapid and accurate image segmentation based on classic image processing and machine learning theory. Presents techniques for improved convolutional neural networks for scene segmentation, object recognition, and change detection, etc. Highlights the effect of image segmentation in various application scenarios such as traffic image analysis, medical image analysis, remote sensing applications, and material analysis, etc. Image Segmentation: Principles, Techniques, and Applications is an essential resource for undergraduate and graduate courses such as image and video processing, computer vision, and digital signal processing, as well as researchers working in computer vision and image analysis looking to improve their techniques and methods.
Book Synopsis Water Resources and Environmental Engineering I by : Maheswaran Rathinasamy
Download or read book Water Resources and Environmental Engineering I written by Maheswaran Rathinasamy and published by Springer. This book was released on 2018-09-01 with total page 205 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book is a compilation of the papers presented in the International Conference on Emerging Trends in Water Resources and Environmental Engineering (ETWREE 2017). The high quality papers are written by research scholars and academicians of prestigious institutes across India. The book discusses the challenges of water management due to misuse or abuse of water resources and the ever mounting challenges on use, reuse and conservation of water. It also discusses issues of water resources such as water quantity, quality, management and planning for the benefits of water resource scientists, faculties, policy makers, stake holders working in the water resources planning and management. The research content discussed in the book will be helpful for engineers to solve practical day to day problems related to water and environmental engineering.
Book Synopsis Variational Methods in Image Segmentation by : Jean-Michel Morel
Download or read book Variational Methods in Image Segmentation written by Jean-Michel Morel and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 257 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains both a synthesis and mathematical analysis of a wide set of algorithms and theories whose aim is the automatic segmen tation of digital images as well as the understanding of visual perception. A common formalism for these theories and algorithms is obtained in a variational form. Thank to this formalization, mathematical questions about the soundness of algorithms can be raised and answered. Perception theory has to deal with the complex interaction between regions and "edges" (or boundaries) in an image: in the variational seg mentation energies, "edge" terms compete with "region" terms in a way which is supposed to impose regularity on both regions and boundaries. This fact was an experimental guess in perception phenomenology and computer vision until it was proposed as a mathematical conjecture by Mumford and Shah. The third part of the book presents a unified presentation of the evi dences in favour of the conjecture. It is proved that the competition of one-dimensional and two-dimensional energy terms in a variational for mulation cannot create fractal-like behaviour for the edges. The proof of regularity for the edges of a segmentation constantly involves con cepts from geometric measure theory, which proves to be central in im age processing theory. The second part of the book provides a fast and self-contained presentation of the classical theory of rectifiable sets (the "edges") and unrectifiable sets ("fractals").
Book Synopsis Grey-scale Image Segmentation by : Petr Dokládal
Download or read book Grey-scale Image Segmentation written by Petr Dokládal and published by . This book was released on 2000 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis High-Order Models in Semantic Image Segmentation by : Ismail Ben Ayed
Download or read book High-Order Models in Semantic Image Segmentation written by Ismail Ben Ayed and published by Academic Press. This book was released on 2023-06-22 with total page 184 pages. Available in PDF, EPUB and Kindle. Book excerpt: High-Order Models in Semantic Image Segmentation reviews recent developments in optimization-based methods for image segmentation, presenting several geometric and mathematical models that underlie a broad class of recent segmentation techniques. Focusing on impactful algorithms in the computer vision community in the last 10 years, the book includes sections on graph-theoretic and continuous relaxation techniques, which can compute globally optimal solutions for many problems. The book provides a practical and accessible introduction to these state-of -the-art segmentation techniques that is ideal for academics, industry researchers, and graduate students in computer vision, machine learning and medical imaging. - Gives an intuitive and conceptual understanding of this mathematically involved subject by using a large number of graphical illustrations - Provides the right amount of knowledge to apply sophisticated techniques for a wide range of new applications - Contains numerous tables that compare different algorithms, facilitating the appropriate choice of algorithm for the intended application - Presents an array of practical applications in computer vision and medical imaging - Includes code for many of the algorithms that is available on the book's companion website
Book Synopsis Magnetic Resonance Brain Imaging by : Jörg Polzehl
Download or read book Magnetic Resonance Brain Imaging written by Jörg Polzehl and published by Springer Nature. This book was released on 2019-09-25 with total page 242 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses the modeling and analysis of magnetic resonance imaging (MRI) data acquired from the human brain. The data processing pipelines described rely on R. The book is intended for readers from two communities: Statisticians who are interested in neuroimaging and looking for an introduction to the acquired data and typical scientific problems in the field; and neuroimaging students wanting to learn about the statistical modeling and analysis of MRI data. Offering a practical introduction to the field, the book focuses on those problems in data analysis for which implementations within R are available. It also includes fully worked examples and as such serves as a tutorial on MRI analysis with R, from which the readers can derive their own data processing scripts. The book starts with a short introduction to MRI and then examines the process of reading and writing common neuroimaging data formats to and from the R session. The main chapters cover three common MR imaging modalities and their data modeling and analysis problems: functional MRI, diffusion MRI, and Multi-Parameter Mapping. The book concludes with extended appendices providing details of the non-parametric statistics used and the resources for R and MRI data.The book also addresses the issues of reproducibility and topics like data organization and description, as well as open data and open science. It relies solely on a dynamic report generation with knitr and uses neuroimaging data publicly available in data repositories. The PDF was created executing the R code in the chunks and then running LaTeX, which means that almost all figures, numbers, and results were generated while producing the PDF from the sources.
