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Applications Of Texture Analysis


Applications Of Texture Analysis
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Applications Of Texture Analysis


Applications Of Texture Analysis
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Author : A. D. Rollett
language : en
Publisher: John Wiley & Sons
Release Date : 2008-12-05

Applications Of Texture Analysis written by A. D. Rollett and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-12-05 with Technology & Engineering categories.


This volume contains papers presented at The 15th International Conference on the Texture of Materials from June 1-5th, 2008 in Pittsburgh, PA. Chapters include: Thin Films Texture at Non-Ambient Conditions Novel Texture Measurement Techniques Including 3D Complex Oxides Interface Textures Recrystallization Texture Biomaterials Texture Effects on Damage Accumulation Digital Microstructures View information on Materials Processing and Texture: Ceramic Transactions, Volume 200.



Handbook Of Texture Analysis


Handbook Of Texture Analysis
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Author : Ayman El-Baz
language : en
Publisher: CRC Press
Release Date : 2024-06-24

Handbook Of Texture Analysis written by Ayman El-Baz and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-24 with Computers categories.


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 book examines four major application domains related to texture analysis and their relationship to AI-based industrial applications: texture classification, texture segmentation, shape from texture, and texture synthesis. This volume: Discusses texture-based segmentation for extracting image shape features, modeling and segmentation of noisy and textured images, spatially constrained color-texture model for image segmentation, and texture segmentation using Gabor filters Examines textural features for image classification, a statistical approach for classification, texture classification from random features, and applications of texture classifications Describes shape from texture, including general principles, 3D shapes, and equations for recovering shape from texture Surveys texture modeling, including extraction based on Hough transformation and cycle detection, image quilting, gray level run lengths, and use of Markov random fields 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.



Handbook Of Texture Analysis


Handbook Of Texture Analysis
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Author : Majid Mirmehdi
language : en
Publisher: World Scientific
Release Date : 2008

Handbook Of Texture Analysis written by Majid Mirmehdi and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Computers categories.


Texture analysis is one of the fundamental aspects of human vision by which we discriminate between surfaces and objects. In a similar manner, computer vision can take advantage of the cues provided by surface texture to distinguish and recognize objects. In computer vision, texture analysis may be used alone or in combination with other sensed features (e.g. color, shape, or motion) to perform the task of recognition. Either way, it is a feature of paramount importance and boasts a tremendous body of work in terms of both research and applications.Currently, the main approaches to texture analysis must be sought out through a variety of research papers. This collection of chapters brings together in one handy volume the major topics of importance, and categorizes the various techniques into comprehensible concepts. The methods covered will not only be relevant to those working in computer vision, but will also be of benefit to the computer graphics, psychophysics, and pattern recognition communities, academic or industrial.



Texture Analysis In Machine Vision


Texture Analysis In Machine Vision
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Author : Matti K Pietikainen
language : en
Publisher: World Scientific
Release Date : 2000-10-13

Texture Analysis In Machine Vision written by Matti K Pietikainen and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000-10-13 with Computers categories.


Texture analysis is an important generic research area of machine vision. The potential areas of application include biomedical image analysis, industrial inspection, analysis of satellite or aerial imagery, content-based retrieval from image databases, document analysis, biometric person authentication, scene analysis for robot navigation, texture synthesis for computer graphics and animation, and image coding. Texture analysis has been a topic of intensive research for over three decades, but the progress has been very slow.A workshop on “Texture Analysis in Machine Vision” was held at the University of Oulu, Finland, in 1999, providing a forum for presenting recent research results and for discussing how to make progress in order to increase the usefulness of texture in practical applications. This book contains extended and revised versions of the papers presented at the workshop. The first part of the book deals with texture analysis methodology, while the second part covers various applications. The book gives a unique view of different approaches and applications of texture analysis. It should be of great interest both to researchers of machine vision and to practitioners in various application areas.



Advances In Communication Devices And Networking


Advances In Communication Devices And Networking
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Author : Rabindranath Bera
language : en
Publisher: Springer Nature
Release Date : 2020-07-27

Advances In Communication Devices And Networking written by Rabindranath Bera and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-27 with Computers categories.


This book covers recent trends in the field of devices, wireless communication and networking. It gathers selected papers presented at the International Conference on Communication, Devices and Networking (ICCDN 2019), which was organized by the Department of Electronics and Communication Engineering, Sikkim Manipal Institute of Technology, Sikkim, India, on 9–10 December 2019. Gathering cutting-edge research papers prepared by researchers, engineers and industry professionals, it will help young and experienced scientists and developers alike to explore new perspectives, and offer them inspirations on how to address real-world problems in the areas of electronics, communication, devices and networking.



Handbook Of Texture Analysis


Handbook Of Texture Analysis
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Author : Ayman El-Baz
language : en
Publisher: CRC Press
Release Date : 2024-06-21

Handbook Of Texture Analysis written by Ayman El-Baz and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-21 with Computers categories.


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.



Handbook Of Pattern Recognition And Computer Vision


Handbook Of Pattern Recognition And Computer Vision
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Author : C. H. Chen
language : en
Publisher: World Scientific
Release Date : 1999

Handbook Of Pattern Recognition And Computer Vision written by C. H. Chen and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999 with Computers categories.


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.



Introduction To Texture Analysis


Introduction To Texture Analysis
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Author : Olaf Engler
language : en
Publisher: CRC Press
Release Date : 2009-11-16

Introduction To Texture Analysis written by Olaf Engler and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-11-16 with Science categories.


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



Introduction To Texture Analysis


Introduction To Texture Analysis
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Author : Valerie Randle
language : en
Publisher: CRC Press
Release Date : 2000-08-07

Introduction To Texture Analysis written by Valerie Randle and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000-08-07 with Technology & Engineering categories.


Encompassing the concepts, practice, and application of orientation analysis, Introduction to Texture Analysis is an essential reference source for reserachers in textiles. The author uses an accessible style to share her expertise, providing comprehensive coverage of the theory and practice of the texture techniques now available and discusses their applications in research and industry. The text considers the merits of each technique for specific applications. Case studies expand upon the author's explanations and help illustrate the main principles involved. Topics include applications of diffraction, SEM- and TEM-based techniques, and crystallographic analyses.



Advances And Applications Of Quantitative Texture Analysis


Advances And Applications Of Quantitative Texture Analysis
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Author : Hans Joachim Bunge
language : en
Publisher:
Release Date : 1991

Advances And Applications Of Quantitative Texture Analysis written by Hans Joachim Bunge and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991 with Technology & Engineering categories.