Image Texture Analysis

2019-06-05
Image Texture Analysis
Author: Chih-Cheng Hung
Publisher: Springer
Total Pages: 264
Release: 2019-06-05
Genre: Computers
ISBN: 3030137732
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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.

The Texture of Images

2020-11-16
The Texture of Images
Author: Livia Cárdenas
Publisher: BRILL
Total Pages: 574
Release: 2020-11-16
Genre: History
ISBN: 9004440127
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This study is the first fundamental analysis and synopsis of the printed relic-book genre. Printed relic books represent, both by image and text, precious reliquaries, which were presented to the faithful audience during special liturgical feasts, the display of relics. This study brings into focus the specific aesthetics of these relic books and explores the immense influence that patrons had on figuration as well as on the forms of these books. The analysis focuses on the interaction of image and text as manifestation of authenticity. This book then contributes to clarifying the complex medial role of printing with movable type in its early period and offers a novel interpretation of the cultural significance of artefacts in the Renaissance. This book is a translation of Die Textur des Bildes: Das Heiltumsbuch im Kontext religiöser Medialität des Spätmittelalters (De Gruyter, 2013)

Image Processing

1999
Image Processing
Author: Maria Petrou
Publisher:
Total Pages: 347
Release: 1999
Genre:
ISBN: 9780470852538
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Image processing has been one of the most active areas of research in recent years. The techniques involved have found significant applications in areas as diverse as video-conferencing, image communication, robotics, geoscience, and medicine.; Providing a step-by-step guide to the basic principles underlying all image processing tasks, this book features numerous worked examples, guiding the reader through the intricacies of reaching the solutions.

Texture Feature Extraction Techniques for Image Recognition

2019-10-24
Texture Feature Extraction Techniques for Image Recognition
Author: Jyotismita Chaki
Publisher: Springer Nature
Total Pages: 109
Release: 2019-10-24
Genre: Technology & Engineering
ISBN: 9811508534
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The book describes various texture feature extraction approaches and texture analysis applications. It introduces and discusses the importance of texture features, and describes various types of texture features like statistical, structural, signal-processed and model-based. It also covers applications related to texture features, such as facial imaging. It is a valuable resource for machine vision researchers and practitioners in different application areas.

Textures

1999
Textures
Author: Phil Brodatz
Publisher:
Total Pages: 0
Release: 1999
Genre: Design
ISBN: 9780486406992
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Over 100 royalty-free illustrations of fieldstone, reptile skin, pressed cork, raffia weave, lace, straw matting, beach pebbles, European marble, water, many other materials. Immediately usable designs can be scanned into PCs.

Handbook of Research on Disease Prediction Through Data Analytics and Machine Learning

2020-10-16
Handbook of Research on Disease Prediction Through Data Analytics and Machine Learning
Author: Rani, Geeta
Publisher: IGI Global
Total Pages: 586
Release: 2020-10-16
Genre: Medical
ISBN: 1799827437
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By applying data analytics techniques and machine learning algorithms to predict disease, medical practitioners can more accurately diagnose and treat patients. However, researchers face problems in identifying suitable algorithms for pre-processing, transformations, and the integration of clinical data in a single module, as well as seeking different ways to build and evaluate models. The Handbook of Research on Disease Prediction Through Data Analytics and Machine Learning is a pivotal reference source that explores the application of algorithms to making disease predictions through the identification of symptoms and information retrieval from images such as MRIs, ECGs, EEGs, etc. Highlighting a wide range of topics including clinical decision support systems, biomedical image analysis, and prediction models, this book is ideally designed for clinicians, physicians, programmers, computer engineers, IT specialists, data analysts, hospital administrators, researchers, academicians, and graduate and post-graduate students.

Image Processing

2005-10-03
Image Processing
Author: Tinku Acharya
Publisher: John Wiley & Sons
Total Pages: 454
Release: 2005-10-03
Genre: Computers
ISBN: 0471745782
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Image processing-from basics to advanced applications Learn how to master image processing and compression with this outstanding state-of-the-art reference. From fundamentals to sophisticated applications, Image Processing: Principles and Applications covers multiple topics and provides a fresh perspective on future directions and innovations in the field, including: * Image transformation techniques, including wavelet transformation and developments * Image enhancement and restoration, including noise modeling and filtering * Segmentation schemes, and classification and recognition of objects * Texture and shape analysis techniques * Fuzzy set theoretical approaches in image processing, neural networks, etc. * Content-based image retrieval and image mining * Biomedical image analysis and interpretation, including biometric algorithms such as face recognition and signature verification * Remotely sensed images and their applications * Principles and applications of dynamic scene analysis and moving object detection and tracking * Fundamentals of image compression, including the JPEG standard and the new JPEG2000 standard Additional features include problems and solutions with each chapter to help you apply the theory and techniques, as well as bibliographies for researching specialized topics. With its extensive use of examples and illustrative figures, this is a superior title for students and practitioners in computer science, wireless and multimedia communications, and engineering.

Computer Analysis of Visual Textures

2013-11-11
Computer Analysis of Visual Textures
Author: Fumiaki Tomita
Publisher: Springer Science & Business Media
Total Pages: 179
Release: 2013-11-11
Genre: Computers
ISBN: 1461315530
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This book presents theories and techniques for perception of textures by computer. Texture is a homogeneous visual pattern that we perceive in surfaces of objects such as textiles, tree barks or stones. Texture analysis is one of the first important steps in computer vision since texture provides important cues to recognize real-world objects. A major part of the book is devoted to two-dimensional analysis of texture patterns by extracting statistical and structural features. It also deals with the shape-from-texture problem which addresses recovery of the three-dimensional surface shapes based on the geometry of projection of the surface texture to the image plane. Perception is still largely mysterious. Realizing a computer vision system that can work in the real world requires more research and ex periment. Capability of textural perception is a key component. We hope this book will contribute to the advancement of computer vision toward robust, useful systems. vVe would like to express our appreciation to Professor Takeo Kanade at Carnegie Mellon University for his encouragement and help in writing this book; to the members of Computer Vision Section at Electrotechni cal Laboratory for providing an excellent research environment; and to Carl W. Harris at Kluwer Academic Publishers for his help in preparing the manuscript.

Handbook Of Pattern Recognition And Computer Vision (2nd Edition)

1999-03-12
Handbook Of Pattern Recognition And Computer Vision (2nd Edition)
Author: Chi Hau Chen
Publisher: World Scientific
Total Pages: 1045
Release: 1999-03-12
Genre: Computers
ISBN: 9814497649
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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.