The Texture Of Images

Author : Chih-Cheng Hung,Enmin Song,Yihua Lan
Publisher : Springer
Page : 264 pages
File Size : 54,9 Mb
Release : 2019-06-05
Category : Computers
ISBN : 9783030137731

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Image Texture Analysis by Chih-Cheng Hung,Enmin Song,Yihua Lan Pdf

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 : Maria Petrou
Publisher : Unknown
Page : 347 pages
File Size : 47,5 Mb
Release : 1999
Category : Electronic
ISBN : 0470852534

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Image Processing by Maria Petrou Pdf

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.

Author : Livia Cárdenas
Publisher : BRILL
Page : 574 pages
File Size : 45,6 Mb
Release : 2020-11-16
Category : History
ISBN : 9789004440128

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The Texture of Images by Livia Cárdenas Pdf

Textures of Images presents for the first time a fundamental analysis and synopsis of the printed relic-book genre. The author brings into focus the specific mediality and aesthetics of this kind of printed books between the Late Middle Ages and the Early Modern Period.

Author : Philip Rideout
Publisher : "O'Reilly Media, Inc."
Page : 442 pages
File Size : 41,6 Mb
Release : 2010-05-03
Category : Computers
ISBN : 9781449390624

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iPhone 3D Programming by Philip Rideout Pdf

What does it take to build an iPhone app with stunning 3D graphics? This book will show you how to apply OpenGL graphics programming techniques to any device running the iPhone OS -- including the iPad and iPod Touch -- with no iPhone development or 3D graphics experience required. iPhone 3D Programming provides clear step-by-step instructions, as well as lots of practical advice, for using the iPhone SDK and OpenGL. You'll build several graphics programs -- progressing from simple to more complex examples -- that focus on lighting, textures, blending, augmented reality, optimization for performance and speed, and much more. All you need to get started is a solid understanding of C++ and a great idea for an app. Learn fundamental graphics concepts, including transformation matrices, quaternions, and more Get set up for iPhone development with the Xcode environment Become familiar with versions 1.1 and 2.0 of the OpenGL ES API, and learn to use vertex buffer objects, lighting, texturing, and shaders Use the iPhone's touch screen, compass, and accelerometer to build interactivity into graphics applications Build iPhone graphics applications such as a 3D wireframe viewer, a simple augmented reality application, a spring system simulation, and more

Author : Maria M. P. Petrou,Sei-ichiro Kamata
Publisher : John Wiley & Sons
Page : 816 pages
File Size : 42,7 Mb
Release : 2021-03-22
Category : Technology & Engineering
ISBN : 9781119618553

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Image Processing by Maria M. P. Petrou,Sei-ichiro Kamata Pdf

The classic text that covers practical image processing methods and theory for image texture analysis, updated second edition The revised second edition of Image Processing: Dealing with Textures updates the classic work on texture analysis theory and methods without abandoning the foundational essentials of this landmark work. Like the first, the new edition offers an analysis of texture in digital images that are essential to a diverse range of applications such as: robotics, defense, medicine and the geo-sciences. Designed to easily locate information on specific problems, the text is structured around a series of helpful questions and answers. Updated to include the most recent developments in the field, many chapters have been completely revised including: Fractals and Multifractals, Image Statistics, Texture Repair, Local Phase Features, Dual Tree Complex Wavelet Transform, Ridgelets and Curvelets and Deep Texture Features. The book takes a two-level mathematical approach: light math is covered in the main level of the book, with harder math identified in separate boxes. This important text: Contains an update of the classic advanced text that reviews practical image processing methods and theory for image texture analysis Puts the focus exclusively on an in-depth exploration of texture Contains a companion website with exercises and algorithms Includes examples that are fully worked to enhance the learning experience Written for students and researchers of image processing, the second edition of Image Processing has been revised and updated to incorporate the foundational information on the topic and information on the latest advances.

Author : Jyotismita Chaki,Nilanjan Dey
Publisher : Springer Nature
Page : 100 pages
File Size : 46,5 Mb
Release : 2019-10-24
Category : Technology & Engineering
ISBN : 9789811508530

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Texture Feature Extraction Techniques for Image Recognition by Jyotismita Chaki,Nilanjan Dey Pdf

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.

Author : Peter Enser,Yiannis Kompatsiaris,Noel E. O'Connor,Alan Smeaton,Arnold W.M. Smeulders
Publisher : Springer Science & Business Media
Page : 694 pages
File Size : 50,5 Mb
Release : 2004-07-08
Category : Computers
ISBN : 9783540225393

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Image and Video Retrieval by Peter Enser,Yiannis Kompatsiaris,Noel E. O'Connor,Alan Smeaton,Arnold W.M. Smeulders Pdf

This book constitutes the refereed proceedings of the Third International Conference on Image and Video Retrieval, CIVR 2004, held in Dublin, Ireland in July 2004. The 31 revised full papers and 44 poster papers presented were carefully reviewed and selected from 125 submissions. The papers are organized in topical sections on image annotation and user searching, image and video retrieval algorithms, person and event identification for retrieval, content-based image and video retrieval, and user perspectives.

Author : Adrien Depeursinge,Omar S Al-Kadi,J.Ross Mitchell
Publisher : Academic Press
Page : 432 pages
File Size : 40,6 Mb
Release : 2017-08-25
Category : Computers
ISBN : 9780128123218

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Biomedical Texture Analysis by Adrien Depeursinge,Omar S Al-Kadi,J.Ross Mitchell Pdf

Biomedical Texture Analysis: Fundamentals, Applications, Tools and Challenges describes the fundamentals and applications of biomedical texture analysis (BTA) for precision medicine. It defines what biomedical textures (BTs) are and why they require specific image analysis design approaches when compared to more classical computer vision applications. The fundamental properties of BTs are given to highlight key aspects of texture operator design, providing a foundation for biomedical engineers to build the next generation of biomedical texture operators. Examples of novel texture operators are described and their ability to characterize BTs are demonstrated in a variety of applications in radiology and digital histopathology. Recent open-source software frameworks which enable the extraction, exploration and analysis of 2D and 3D texture-based imaging biomarkers are also presented. This book provides a thorough background on texture analysis for graduate students and biomedical engineers from both industry and academia who have basic image processing knowledge. Medical doctors and biologists with no background in image processing will also find available methods and software tools for analyzing textures in medical images. Defines biomedical texture precisely and describe how it is different from general texture information considered in computer vision Defines the general problem to translate 2D and 3D texture patterns from biomedical images to visually and biologically relevant measurements Describes, using intuitive concepts, how the most popular biomedical texture analysis approaches (e.g., gray-level matrices, fractals, wavelets, deep convolutional neural networks) work, what they have in common, and how they are different Identifies the strengths, weaknesses, and current challenges of existing methods including both handcrafted and learned representations, as well as deep learning. The goal is to establish foundations for building the next generation of biomedical texture operators Showcases applications where biomedical texture analysis has succeeded and failed Provides details on existing, freely available texture analysis software, helping experts in medicine or biology develop and test precise research hypothesis

Author : Rani, Geeta,Tiwari, Pradeep Kumar
Publisher : IGI Global
Page : 586 pages
File Size : 46,5 Mb
Release : 2020-10-16
Category : Medical
ISBN : 9781799827436

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Handbook of Research on Disease Prediction Through Data Analytics and Machine Learning by Rani, Geeta,Tiwari, Pradeep Kumar Pdf

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.

Author : Phil Brodatz
Publisher : Unknown
Page : 0 pages
File Size : 50,9 Mb
Release : 1999
Category : Design
ISBN : 0486406997

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Textures by Phil Brodatz Pdf

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.

Author : Matti Pietik„inen
Publisher : World Scientific
Page : 284 pages
File Size : 42,8 Mb
Release : 2000
Category : Computers
ISBN : 9810243731

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Texture Analysis in Machine Vision by Matti Pietik„inen Pdf

d104ure 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. d104ure analysis has been a topic of intensive research for over three decades, but the progress has been very slow.A workshop on ?d104ure 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.

Author : A. Ravishankar Rao
Publisher : Springer Science & Business Media
Page : 221 pages
File Size : 53,7 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9781461397779

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A Taxonomy for Texture Description and Identification by A. Ravishankar Rao Pdf

A central issue in computer vision is the problem of signal to symbol transformation. In the case of texture, which is an important visual cue, this problem has hitherto received very little attention. This book presents a solution to the signal to symbol transformation problem for texture. The symbolic de- scription scheme consists of a novel taxonomy for textures, and is based on appropriate mathematical models for different kinds of texture. The taxonomy classifies textures into the broad classes of disordered, strongly ordered, weakly ordered and compositional. Disordered textures are described by statistical mea- sures, strongly ordered textures by the placement of primitives, and weakly ordered textures by an orientation field. Compositional textures are created from these three classes of texture by using certain rules of composition. The unifying theme of this book is to provide standardized symbolic descriptions that serve as a descriptive vocabulary for textures. The algorithms developed in the book have been applied to a wide variety of textured images arising in semiconductor wafer inspection, flow visualization and lumber processing. The taxonomy for texture can serve as a scheme for the identification and description of surface flaws and defects occurring in a wide range of practical applications.

Author : K. C. Santosh,Ravindra S. Hegadi
Publisher : Springer
Page : 543 pages
File Size : 55,7 Mb
Release : 2019-07-15
Category : Computers
ISBN : 9789811391842

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Recent Trends in Image Processing and Pattern Recognition by K. C. Santosh,Ravindra S. Hegadi Pdf

This three-book set constitutes the refereed proceedings of the Second International Conference on Recent Trends in Image Processing and Pattern Recognition (RTIP2R) 2018, held in Solapur, India, in December 2018. The 173 revised full papers presented were carefully reviewed and selected from 374 submissions. The papers are organized in topical sections in the tree volumes. Part I: computer vision and pattern recognition; machine learning and applications; and image processing. Part II: healthcare and medical imaging; biometrics and applications. Part III: document image analysis; image analysis in agriculture; and data mining, information retrieval and applications.

Author : Kristin J. Dana
Publisher : Springer Nature
Page : 99 pages
File Size : 51,9 Mb
Release : 2022-05-31
Category : Computers
ISBN : 9783031018237

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Computational Texture and Patterns by Kristin J. Dana Pdf

Visual pattern analysis is a fundamental tool in mining data for knowledge. Computational representations for patterns and texture allow us to summarize, store, compare, and label in order to learn about the physical world. Our ability to capture visual imagery with cameras and sensors has resulted in vast amounts of raw data, but using this information effectively in a task-specific manner requires sophisticated computational representations. We enumerate specific desirable traits for these representations: (1) intraclass invariance—to support recognition; (2) illumination and geometric invariance for robustness to imaging conditions; (3) support for prediction and synthesis to use the model to infer continuation of the pattern; (4) support for change detection to detect anomalies and perturbations; and (5) support for physics-based interpretation to infer system properties from appearance. In recent years, computer vision has undergone a metamorphosis with classic algorithms adapting to new trends in deep learning. This text provides a tour of algorithm evolution including pattern recognition, segmentation and synthesis. We consider the general relevance and prominence of visual pattern analysis and applications that rely on computational models.

Author : Milan Hájek
Publisher : Texture Analysis Magn Resona
Page : 248 pages
File Size : 44,7 Mb
Release : 2006
Category : Magnetic resonance imaging
ISBN : 8090366007

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Texture Analysis for Magnetic Resonance Imaging by Milan Hájek Pdf