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Author: Harrison H. Barrett
Publisher: Wiley-Interscience
ISBN:
Category : Mathematics
Languages : en
Pages : 1592
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Book Description
This text presents the fundamental physics at work in imaging systems. It offers a coherent treatment of the principles, mathematics and statistics needed to understand imaging systems.
Author: Harrison H. Barrett
Publisher: Wiley-Interscience
ISBN:
Category : Mathematics
Languages : en
Pages : 1592
Get Book Here
Book Description
This text presents the fundamental physics at work in imaging systems. It offers a coherent treatment of the principles, mathematics and statistics needed to understand imaging systems.
Author: Harrison H. Barrett
Publisher: John Wiley & Sons
ISBN: 1118772776
Category : Science
Languages : en
Pages : 1857
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Book Description
Winner of the 2006 Joseph W. Goodman Book Writing Award! A comprehensive treatment of the principles, mathematics, and statistics of image science In today's visually oriented society, images play an important role in conveying messages. From seismic imaging to satellite images to medical images, our modern society would be lost without images to enhance our understanding of our health, our culture, and our world. Foundations of Image Science presents a comprehensive treatment of the principles, mathematics, and statistics needed to understand and evaluate imaging systems. The book is the first to provide a thorough treatment of the continuous-to-discrete, or CD, model of digital imaging. Foundations of Image Science emphasizes the need for meaningful, objective assessment of image quality and presents the necessary tools for this purpose. Approaching the subject within a well-defined theoretical and physical context, this landmark text presents the mathematical underpinnings of image science at a level that is accessible to graduate students and practitioners working with imaging systems, as well as well-motivated undergraduate students. Destined to become a standard text in the field, Foundations of Image Science covers: Mathematical Foundations: Examines the essential mathematical foundations of image science Image Formation–Models and Mechanisms: Presents a comprehensive and unified treatment of the mathematical and statistical principles of imaging, with an emphasis on digital imaging systems and the use of SVD methods Image Quality: Provides a systematic exposition of the methodology for objective or task-based assessment of image quality Applications: Presents detailed case studies of specific direct and indirect imaging systems and provides examples of how to apply the various mathematical tools covered in the book Appendices: Covers the prerequisite material necessary for understanding the material in the main text, including matrix algebra, complex variables, and the basics of probability theory
Author: Bas C. Van Fraassen
Publisher: University of Chicago Press
ISBN: 0226106543
Category : Science
Languages : en
Pages : 320
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Book Description
"Churchland and Hooker have collected ten papers by prominent philosophers of science which challenge van Fraassen's thesis from a variety of realist perspectives. Together with van Fraassen's extensive reply . . . these articles provide a comprehensive picture of the current debate in philosophy of science between realists and anti-realists."—Jeffrey Bub and David MacCallum, Foundations of Physics Letters
Author: Andreas Maier
Publisher: Springer
ISBN: 3319965204
Category : Computers
Languages : en
Pages : 263
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Book Description
This open access book gives a complete and comprehensive introduction to the fields of medical imaging systems, as designed for a broad range of applications. The authors of the book first explain the foundations of system theory and image processing, before highlighting several modalities in a dedicated chapter. The initial focus is on modalities that are closely related to traditional camera systems such as endoscopy and microscopy. This is followed by more complex image formation processes: magnetic resonance imaging, X-ray projection imaging, computed tomography, X-ray phase-contrast imaging, nuclear imaging, ultrasound, and optical coherence tomography.
Author: Gustave Guillaume
Publisher: John Benjamins Publishing
ISBN: 9027280134
Category : Language Arts & Disciplines
Languages : en
Pages : 201
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Book Description
This volume presents, for the first time in English, a representative view of Gustave Guillaume's thought. The texts, drawn mainly from his manuscript notes for lectures at the Ecole Pratique des Hautes Etudes in Paris, were selected as far as possible for their accessibility, as requiring no prior knowledge of his work. The result is a panorama of the far-ranging and often provocative thought of one of the twentieth century's most original linguists.
Author: Harrison H. Barrett
Publisher: Elsevier
ISBN: 0080572308
Category : Computers
Languages : en
Pages : 709
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Book Description
Radiological Imaging: The Theory of Image Formation, Detection, and Processing is intended to prepare the student to do research in radiological imaging, to teach general image science within a radiographic context, and to help the student gain fluency with the essential analytical tools of linear systems theory and the theory of stochastic processes that are applicable to any imaging system. The book contains chapters devoted to the discussion of linear systems, Poisson processes, analysis of radiographic systems, radiographic image detectors, and the various aspects of three-dimensional or tomographic imaging. Computed tomography, psychophysics, and scattered radiation and its effect on image are also elucidated. Radiology technicians will find the book very invaluable.
Author: Wesley Salmon
Publisher: University of Pittsburgh Pre
ISBN: 0822971259
Category : Philosophy
Languages : en
Pages : 170
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Book Description
Not since Ernest Nagel’s 1939 monograph on the theory of probability has there been a comprehensive elementary survey of the philosophical problems of probablity and induction. This is an authoritative and up-to-date treatment of the subject, and yet it is relatively brief and nontechnical. Hume’s skeptical arguments regarding the justification of induction are taken as a point of departure, and a variety of traditional and contemporary ways of dealing with this problem are considered. The author then sets forth his own criteria of adequacy for interpretations of probability. Utilizing these criteria he analyzes contemporary theories of probability, as well as the older classical and subjective interpretations.
Author: Z. H. Cho
Publisher: Wiley-Interscience
ISBN:
Category : Medical
Languages : en
Pages : 608
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Book Description
This handbook of medical imaging relates all concepts to electronic engineering. It provides an understanding of applied physics and its principles in order to allow for the design, transmittal and interpretation of electronic imaging signals and systems.
Author: Günter Gottstein
Publisher: Springer Science & Business Media
ISBN: 3662092913
Category : Technology & Engineering
Languages : en
Pages : 511
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Book Description
In this vivid and comprehensible introduction to materials science, the author expands the modern concepts of metal physics to formulate basic theory applicable to other engineering materials, such as ceramics and polymers. Written for engineering students and working engineers with little previous knowledge of solid-state physics, this textbook enables the reader to study more specialized and fundamental literature of materials science. Dozens of illustrative photographs, many of them transmission electron microscopy images, plus line drawings, aid developing a firm appreciation of this complex topic. Hard-to-grasp terms such as "textures" are lucidly explained - not only the phenomenon itself, but also its consequences for the material properties. This excellent book makes materials science more transparent.
Author: Avrim Blum
Publisher: Cambridge University Press
ISBN: 1108617360
Category : Computers
Languages : en
Pages : 433
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Book Description
This book provides an introduction to the mathematical and algorithmic foundations of data science, including machine learning, high-dimensional geometry, and analysis of large networks. Topics include the counterintuitive nature of data in high dimensions, important linear algebraic techniques such as singular value decomposition, the theory of random walks and Markov chains, the fundamentals of and important algorithms for machine learning, algorithms and analysis for clustering, probabilistic models for large networks, representation learning including topic modelling and non-negative matrix factorization, wavelets and compressed sensing. Important probabilistic techniques are developed including the law of large numbers, tail inequalities, analysis of random projections, generalization guarantees in machine learning, and moment methods for analysis of phase transitions in large random graphs. Additionally, important structural and complexity measures are discussed such as matrix norms and VC-dimension. This book is suitable for both undergraduate and graduate courses in the design and analysis of algorithms for data.
