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Author: H.-J. Bunge
Publisher: Elsevier
ISBN: 1483278395
Category : Technology & Engineering
Languages : en
Pages : 614
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Book Description
Texture Analysis in Materials Science Mathematical Methods focuses on the methodologies, processes, techniques, and mathematical aids in the orientation distribution of crystallites. The manuscript first offers information on the orientation of individual crystallites and orientation distributions. Topics include properties and representations of rotations, orientation distance, and ambiguity of rotation as a consequence of crystal and specimen symmetry. The book also takes a look at expansion of orientation distribution functions in series of generalized spherical harmonics, fiber textures, and methods not based on the series expansion. The publication reviews special distribution functions, texture transformation, and system of programs for the texture analysis of sheets of cubic materials. The text also ponders on the estimation of errors, texture analysis, and physical properties of polycrystalline materials. Topics include comparison of experimental and recalculated pole figures; indetermination error for incomplete pole figures; and determination of the texture coefficients from anisotropie polycrystal properties. The manuscript is a dependable reference for readers interested in the use of mathematical aids in the orientation distribution of crystallites.
Author: H.-J. Bunge
Publisher: Elsevier
ISBN: 1483278395
Category : Technology & Engineering
Languages : en
Pages : 614
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Book Description
Texture Analysis in Materials Science Mathematical Methods focuses on the methodologies, processes, techniques, and mathematical aids in the orientation distribution of crystallites. The manuscript first offers information on the orientation of individual crystallites and orientation distributions. Topics include properties and representations of rotations, orientation distance, and ambiguity of rotation as a consequence of crystal and specimen symmetry. The book also takes a look at expansion of orientation distribution functions in series of generalized spherical harmonics, fiber textures, and methods not based on the series expansion. The publication reviews special distribution functions, texture transformation, and system of programs for the texture analysis of sheets of cubic materials. The text also ponders on the estimation of errors, texture analysis, and physical properties of polycrystalline materials. Topics include comparison of experimental and recalculated pole figures; indetermination error for incomplete pole figures; and determination of the texture coefficients from anisotropie polycrystal properties. The manuscript is a dependable reference for readers interested in the use of mathematical aids in the orientation distribution of crystallites.
Author: Satyam Suwas
Publisher: Springer
ISBN: 9781447168614
Category : Technology & Engineering
Languages : en
Pages : 0
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Book Description
Providing a comprehensive and invaluable overview of the basics of crystallographic textures and their industrial applications, this book covers a broad range of both structural and functional materials. It introduces the existing methods of representation in an accessible manner and presents a thorough overview of existing knowledge on texture of metallic materials. Texture analysis has widespread use in many industries, and provides crucial input towards the development of new materials and products. There has been rapid growth in the science and art of texture analysis in the last few decades. Other topics addressed within this book include recent research on texture in thin films and non-metals, and the dependence of material properties on texture, and texture control in some engineering materials. This book constitutes an invaluable reference text for researchers and professionals working on texture analysis in metallurgy, materials science and engineering, physics and geology. By using content selectively, it is also highly accessible to undergraduate students.
Author: Hans Rudolf Wenk
Publisher: Elsevier
ISBN: 1483289346
Category : Science
Languages : en
Pages : 631
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Book Description
This volume provides an introduction to the texture analysis of deformed materials and explores methods of determining and interpreting the preferred orientation of crystals in deformed polycrystalline aggregates.**The book reviews: 1) the techniques, procedures, and theoretical basis for the accumulation and analysis of orientation data; 2)the processes by which polycrystals deform and the microstructural mechanisms responsible for the development of the preferred orientation; 3) the textures in specific systems and application of principles to the solution of specific problems.**With a combination of metallurgic and geologic applications, Preferred Orientation in Deformed Metals and Rocks: An Introduction to Modern Texture Analysis will be an important source book for students and researchers in materials science, solid state physics, structural geology, and geophysics.**FROM THE PREFACE: Determination and interpretation of the preferred orientation of crystals in deformed polycrystalline aggregates (in this volume also referred to as texture) has been of longstanding concern to both materials scientists and geologists. A similar theoretical background--such as the dislocation theory of crystal plasticity--has been the basis of understanding flow in metals and rocks; and similar determinative techniques--including microscopy and x-ray diffraction--have been used to study textures and microstructures. Whereas many of the fundamental principles have been established early this century by scientists such as Jeffery, Sachs, Sander, Schmid, Schmidt, and Taylor, only in recent years has knowledge reached a level that provides a quantitative framework which has replaced a largely phenomenological approach. This is expressed in the sudden new emphasis on textural studies, as documented by the large number of recent publications.**This volume contains material to serve as an introduction for those who wish to enter this field as well as reviews for those who are already engaged in advanced research....**The book is divided into three parts. The first (Chapters 2*b17) deals with techniques, procedures, and theoretical bases for the accumulation and analysis of orientation data. The second (Chapters 8*b112) introduces processes by which polycrystals deform and the microstructural mechanisms responsible for the development of the preferred orientation. All those chapters emphasize basic principles and apply to metals as well as to minerals. The third part (Chapters 13*b126) illustrates textures in specific systems and the application of the principles set out in the earlier chapters to the solution of specific problems. Readers of these chapters will quickly become aware that metals have been more exhaustively studied than minerals; but they will also realize that, because of their structural symmetry, metals are in general much simpler than rocks and that the intepretation of metal textures is less involved. An extensive list of relevant references provides access to much of the original literature on textures....
Author: Olaf Engler
Publisher: CRC Press
ISBN: 1420063669
Category : Science
Languages : en
Pages : 490
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Book Description
The first edition of Introduction to Texture Analysis: Macrotexture, Microtexture, and Orientation Mapping broke new ground by collating seventy years worth of research in a convenient single-source format. Reflecting emerging methods and the evolution of the field, the second edition continues to provide comprehensive coverage of the concepts, pra
Author: Adam J. Schwartz
Publisher: Springer Science & Business Media
ISBN: 1475732058
Category : Technology & Engineering
Languages : en
Pages : 352
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Book Description
Crystallographic texture or preferred orientation has long been known to strongly influence material properties. Historically, the means of obtaining such texture data has been though the use of x-ray or neutron diffraction for bulk texture measurements, or transmission electron microscopy or electron channeling for local crystallographic information. In recent years, we have seen the emergence of a new characterization technique for probing the microtexture of materials. This advance has come about primarily through the automated indexing of electron backscatter diffraction (EBSD) patterns. The first commercially available system was introduced in 1994, and since then of sales worldwide has been dramatic. This has accompanied widening the growth applicability in materials scienceproblems such as microtexture, phase identification, grain boundary character distribution, deformation microstructures, etc. and is evidence that this technique can, in some cases, replace more time-consuming transmission electron microscope (TEM) or x-ray diffraction investigations. The benefits lie in the fact that the spatial resolution on new field emission scanning electron microscopes (SEM) can approach 50 nm, but spatial extent can be as large a centimeter or greater with a computer controlled stage and montagingofthe images. Additional benefits include the relative ease and low costofattaching EBSD hardware to new or existing SEMs. Electron backscatter diffraction is also known as backscatter Kikuchi diffraction (BKD), or electron backscatter pattern technique (EBSP). Commercial names for the automation include Orientation Imaging Microscopy (OIMTM) and Automated Crystal Orientation Mapping (ACOM).
Author: Ayman El-Baz
Publisher: CRC Press
ISBN: 1040008909
Category : Computers
Languages : en
Pages : 271
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Book Description
The major goals of texture research in computer vision are to understand, model, and process texture and, ultimately, to simulate the human visual learning process using computer technologies. In the last decade, artificial intelligence has been revolutionized by machine learning and big data approaches, outperforming human prediction on a wide range of problems. In particular, deep learning convolutional neural networks (CNNs) are particularly well suited to texture analysis. This volume presents important branches of texture analysis methods which find a proper application in AI-based medical image analysis. This book: Discusses first-order, second-order statistical methods, local binary pattern (LBP) methods, and filter bank-based methods Covers spatial frequency-based methods, Fourier analysis, Markov random fields, Gabor filters, and Hough transformation Describes advanced textural methods based on DL as well as BD and advanced applications of texture to medial image segmentation Is aimed at researchers, academics, and advanced students in biomedical engineering, image analysis, cognitive science, and computer science and engineering This is an essential reference for those looking to advance their understanding in this applied and emergent field.
Author: Chi Hau Chen
Publisher: World Scientific
ISBN: 9814497649
Category : Computers
Languages : en
Pages : 1045
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Book Description
The very significant advances in computer vision and pattern recognition and their applications in the last few years reflect the strong and growing interest in the field as well as the many opportunities and challenges it offers. The second edition of this handbook represents both the latest progress and updated knowledge in this dynamic field. The applications and technological issues are particularly emphasized in this edition to reflect the wide applicability of the field in many practical problems. To keep the book in a single volume, it is not possible to retain all chapters of the first edition. However, the chapters of both editions are well written for permanent reference. This indispensable handbook will continue to serve as an authoritative and comprehensive guide in the field.
Author: U. F. Kocks
Publisher: Cambridge University Press
ISBN: 9780521794206
Category : Science
Languages : en
Pages : 672
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Book Description
A successful book covering an important area of materials science, now available in paperback.
Author: Chih-Cheng Hung
Publisher: Springer
ISBN: 3030137732
Category : Computers
Languages : en
Pages : 264
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Book Description
This useful textbook/reference presents an accessible primer on the fundamentals of image texture analysis, as well as an introduction to the K-views model for extracting and classifying image textures. Divided into three parts, the book opens with a review of existing models and algorithms for image texture analysis, before delving into the details of the K-views model. The work then concludes with a discussion of popular deep learning methods for image texture analysis. Topics and features: provides self-test exercises in every chapter; describes the basics of image texture, texture features, and image texture classification and segmentation; examines a selection of widely-used methods for measuring and extracting texture features, and various algorithms for texture classification; explains the concepts of dimensionality reduction and sparse representation; discusses view-based approaches to classifying images; introduces the template for the K-views algorithm, as well as a range of variants of this algorithm; reviews several neural network models for deep machine learning, and presents a specific focus on convolutional neural networks. This introductory text on image texture analysis is ideally suitable for senior undergraduate and first-year graduate students of computer science, who will benefit from the numerous clarifying examples provided throughout the work.
Author: Hans Joachim Bunge
Publisher: Deutsche Gesellschaft Fur Metallkunde
ISBN:
Category : Science
Languages : en
Pages : 576
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Book Description
