Digital Image Processing

Author: Rafael C. Gonzalez,Richard E. Woods

Publisher: Pearson Higher Ed

ISBN: 0133002322

Category: Technology & Engineering

Page: 976

View: 9527

This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book. For courses in Image Processing and Computer Vision. Completely self-contained—and heavily illustrated—this introduction to basic concepts and methodologies for digital image processing is written at a level that truly is suitable for seniors and first-year graduate students in almost any technical discipline. The leading textbook in its field for more than twenty years, it continues its cutting-edge focus on contemporary developments in all mainstream areas of image processing—e.g., image fundamentals, image enhancement in the spatial and frequency domains, restoration, color image processing, wavelets, image compression, morphology, segmentation, image description, and the fundamentals of object recognition. It focuses on material that is fundamental and has a broad scope of application.

Digital Image Processing Methods

Author: Dougherty

Publisher: CRC Press

ISBN: 9780824789275

Category: Technology & Engineering

Page: 504

View: 1723

This unique reference presents in-depth coverage of the latest methods and applications of digital image processing describing various computer architectures ideal for satisfying specific image processing demands.

Digitale Bildverarbeitung

Eine Einführung mit Java und ImageJ

Author: Wilhelm Burger,Mark James Burge

Publisher: Springer-Verlag

ISBN: 354027653X

Category: Computers

Page: 532

View: 6444

Die Autoren geben eine fundierte Einführung in die wichtigsten Methoden der digitalen Bildverarbeitung. Dabei steht die praktische Anwendbarkeit im Vordergrund, formale und mathematische Aspekte sind auf das Wesentliche reduziert, ohne dabei auf eine präzise und konsistente Vorgehensweise zu verzichten. Der Text eignet sich für technisch orientierte Studiengänge ab dem 3.Semester und basiert auf der mehrjährigen Lehrerfahrung der Autoren zu diesem Thema. Der Einsatz in der Lehre wird durch zahlreiche praktische Übungsaufgaben unterstützt. Das Buch eignet sich auch als detaillierte Referenz für Praktiker und Anwender gängiger Verfahren der digitalen Bildverarbeitung, z.B. in der Medizin, der Materialprüfung, der Robotik oder der Medientechnik. Softwareseitig basiert das Buch auf der in Java implementierten und frei verfügbaren Bildverarbeitungsumgebung ImageJ.

Advances in Digital Image Processing and Information Technology

First International Conference on Digital Image Processing and Pattern Recognition, DPPR 2011, Tirunelveli, Tamil Nadu, India, September 23-25, 2011, Proceedings

Author: Dhinaharan Nagamalai,Eric Renault,Murugan Dhanuskodi

Publisher: Springer Science & Business Media

ISBN: 3642240542

Category: Computers

Page: 478

View: 2320

This book constitutes the refereed proceedings of the First International Conference on Digital Image Processing and Pattern Recognition, DPPR 2011, held in Tirunelveli, India, in September 2011. The 48 revised full papers were carefully reviewed and selected from about 400 submissions. The conference brought together leading researchers, engineers and scientists in the domain of Digital Image Processing and Pattern Recognition. The papers cover all theoretical and practical aspects of the field and present new advances and current research results in two tracks, namely: digital image processing and pattern recognition, and computer science, engineering and information technology.

Binary Digital Image Processing

A Discrete Approach

Author: Stéphane Marchand-Maillet,Yazid M. Sharaiha

Publisher: Elsevier

ISBN: 9780080527826

Category: Technology & Engineering

Page: 368

View: 7684

Binary Digital Image Processing is aimed at faculty, postgraduate students and industry specialists. It is both a text reference and a textbook that reviews and analyses the research output in this field of binary image processing. It is aimed at both advanced researchers as well as educating the novice to this area. The theoretical part of this book includes the basic principles required for binary digital image analysis. The practical part which will take an algorithmic approach addresses problems which find applications beyond binary digital line image processing. The book first outlines the theoretical framework underpinning the study of digital image processing with particular reference to those needed for line image processing. The theoretical tools in the first part of the book set the stage for the second and third parts, where low-level binary image processing is addressed and then intermediate level processing of binary line images is studied. The book concludes with some practical applications of this work by reviewing some industrial and software applications (engineering drawing storage and primitive extraction, fingerprint compression). Outlines the theoretical framework underpinning the study of digital image processing with particular reference to binary line image processing Addresses low-level binary image processing, reviewing a number of essential characteristics of binary digital images and providing solution procedures and algorithms Includes detailed reviews of topics in binary digital image processing with up-to-date research references in relation to each of the problems under study Includes some practical applications of this work by reviewing some common applications Covers a range of topics, organised by theoretical field rather than being driven by problem definitions

Digital Image Processing

Mathematical and Computational Methods

Author: J M Blackledge

Publisher: Elsevier

ISBN: 0857099469

Category: Computers

Page: 824

View: 8402

This authoritative text (the second part of a complete MSc course) provides mathematical methods required to describe images, image formation and different imaging systems, coupled with the principle techniques used for processing digital images. It is based on a course for postgraduates reading physics, electronic engineering, telecommunications engineering, information technology and computer science. This book relates the methods of processing and interpreting digital images to the ‘physics’ of imaging systems. Case studies reinforce the methods discussed, with examples of current research themes. Provides mathematical methods required to describe images, image formation and different imaging systems Outlines the principle techniques used for processing digital images Relates the methods of processing and interpreting digital images to the ‘physics’ of imaging systems

Digital Image Processing Techniques

Author: Michael P. Ekstrom

Publisher: Academic Press

ISBN: 0323140165

Category: Technology & Engineering

Page: 372

View: 6205

Digital Image Processing Techniques is a state-of-the-art review of digital image processing techniques, with emphasis on the processing approaches and their associated algorithms. A canonical set of image processing problems that represent the class of functions typically required in most image processing applications is presented. Each chapter broadly addresses the problem being considered; the best techniques for this particular problem and how they work; their strengths and limitations; and how the techniques are actually implemented as well as their computational aspects. Comprised of eight chapters, this volume begins with a discussion on processing techniques associated with the following tasks: image enhancement, restoration, detection and estimation, reconstruction, and analysis, along with image data compression and image spectral estimation. The second section describes hardware and software systems for digital image processing. Aspects of commercially available systems that combine both processing and display functions are considered, as are future prospects for their technological and architectural evolution. The specifics of system design trade-offs are explicitly presented in detail. This book will be of interest to students, practitioners, and researchers in various disciplines including digital signal processing, computer science, statistical communications theory, control systems, and applied physics.

Digital Image Processing

Author: Jayaraman

Publisher: Tata McGraw-Hill Education

ISBN: 9780070144798

Category: Image processing

Page: 723

View: 5409

Meant for students and practicing engineers, this book provides a clear, comprehensive and up-to-date introduction to Digital Image Processing in a pragmatic style. An illustrative approach, practical examples and MATLAB applications given in the book help in bringing the theory to life.

Digital Image Processing for Medical Applications

Author: Geoff Dougherty

Publisher: Cambridge University Press

ISBN: 9781139476294

Category: Technology & Engineering

Page: 462

View: 3166

Image processing is a hands-on discipline, and the best way to learn is by doing. This text takes its motivation from medical applications and uses real medical images and situations to illustrate and clarify concepts and to build intuition, insight and understanding. Designed for advanced undergraduates and graduate students who will become end-users of digital image processing, it covers the basics of the major clinical imaging modalities, explaining how the images are produced and acquired. It then presents the standard image processing operations, focusing on practical issues and problem solving. Crucially, the book explains when and why particular operations are done, and practical computer-based activities show how these operations affect real images. All images, links to the public-domain software ImageJ and custom plug-ins, and selected solutions are available from www.cambridge.org/books/dougherty.

Digital Image Processing

Author: Bernd Jähne

Publisher: Springer Science & Business Media

ISBN: 9783540240358

Category: Technology & Engineering

Page: 608

View: 1562

This long-established and well-received monograph offers an integral view of image processing - from image acquisition to the extraction of the data of interest – written by a physical scientists for other scientists. Supplements discussion of the general concepts is supplemented with examples from applications on PC-based image processing systems and ready-to-use implementations of important algorithms. Completely revised and extended, the most notable extensions being a detailed discussion on random variables and fields, 3-D imaging techniques and a unified approach to regularized parameter estimation.

Principles of Digital Image Processing

Advanced Methods

Author: Wilhelm Burger,Mark J. Burge

Publisher: Springer Science & Business Media

ISBN: 1848829191

Category: Computers

Page: 369

View: 6589

This textbook is the third of three volumes which provide a modern, algorithmic introduction to digital image processing, designed to be used both by learners desiring a firm foundation on which to build, and practitioners in search of critical analysis and concrete implementations of the most important techniques. This volume builds upon the introductory material presented in the first two volumes with additional key concepts and methods in image processing. Features: practical examples and carefully constructed chapter-ending exercises; real implementations, concise mathematical notation, and precise algorithmic descriptions designed for programmers and practitioners; easily adaptable Java code and completely worked-out examples for easy inclusion in existing applications; uses ImageJ; provides a supplementary website with the complete Java source code, test images, and corrections; additional presentation tools for instructors including a complete set of figures, tables, and mathematical elements.

Topological Algorithms for Digital Image Processing

Author: T.Y. Kong,A. Rosenfeld

Publisher: Elsevier

ISBN: 9780080552040

Category: Computers

Page: 291

View: 4223

Basic topological algorithms are the subject of this new book. It presents their underlying theory and discusses their applications. Due to the wide variety of topics treated in the seven chapters, no attempt has been made to standardize the notation and terminology used by the authors. Each chapter, however, is self-contained and can be read independently of the others. Some of the basic terminology and fundamental concepts of digital topology are reviewed in the appendix which also describes important areas of the field. A bibliography of over 360 references is also provided. The notations and terminologies used in this book will serve to introduce readers to the even wider variety that exists in the voluminous literature dealing with topological algorithms.

Digital Image Processing with Application to Digital Cinema

Author: K. S. Thyagarajan

Publisher: Taylor & Francis

ISBN: 0240807294

Category: Computers

Page: 378

View: 9485

With crystal clarity, this book conveys the most current principles in digital image processing, providing both the background theory and the practical applications to various industries, such as digital cinema, video compression, and streaming media. This book contains tons of useful features, including: * a chapter on the role of human vision in image visualization, * the MATLAB codes used to generate most of the figures and tables listed in the book, as well as a few MATLAB projects, * a 24-pg color insert * case studies to illustrate the practical application of the theory.

Digital Image Processing Algorithms and Applications

Author: Ioannis Pitas

Publisher: John Wiley & Sons

ISBN: 9780471377399

Category: Computers

Page: 419

View: 992

Digital image transform algorithms, edge detection algorithms, and image segmentation algorithms are carefully gleaned from the literature for compatibility and a track record of acceptance in the scientific community.".

Digital Image Processing

An Algorithmic Introduction Using Java

Author: Wilhelm Burger,Mark J. Burge

Publisher: Springer Science & Business Media

ISBN: 9781846283796

Category: Computers

Page: 565

View: 8872

Written as an introduction for undergraduate students, this textbook covers the most important methods in digital image processing. Formal and mathematical aspects are discussed at a fundamental level and various practical examples and exercises supplement the text. The book uses the image processing environment ImageJ, freely distributed by the National Institute of Health. A comprehensive website supports the book, and contains full source code for all examples in the book, a question and answer forum, slides for instructors, etc. Digital Image Processing in Java is the definitive textbook for computer science students studying image processing and digital processing.

Digital Image Processing and Analysis

Human and Computer Vision Applications with CVIPtools, Second Edition

Author: Scott E Umbaugh

Publisher: CRC Press

ISBN: 1439802068

Category: Technology & Engineering

Page: 977

View: 1694

Whether for computer evaluation of otherworldly terrain or the latest high definition 3D blockbuster, digital image processing involves the acquisition, analysis, and processing of visual information by computer and requires a unique skill set that has yet to be defined a single text. Until now. Taking an applications-oriented, engineering approach, Digital Image Processing and Analysis provides the tools for developing and advancing computer and human vision applications and brings image processing and analysis together into a unified framework. Providing information and background in a logical, as-needed fashion, the author presents topics as they become necessary for understanding the practical imaging model under study. He offers a conceptual presentation of the material for a solid understanding of complex topics and discusses the theory and foundations of digital image processing and the algorithm development needed to advance the field. With liberal use of color through-out and more materials on the processing of color images than the previous edition, this book provides supplementary exercises, a new chapter on applications, and two major new tools that allow for batch processing, the analysis of imaging algorithms, and the overall research and development of imaging applications. It includes two new software tools, the Computer Vision and Image Processing Algorithm Test and Analysis Tool (CVIP-ATAT) and the CVIP Feature Extraction and Pattern Classification Tool (CVIP-FEPC). Divided into five major sections, this book provides the concepts and models required to analyze digital images and develop computer vision and human consumption applications as well as all the necessary information to use the CVIPtools environment for algorithm development, making it an ideal reference tool for this fast growing field.

Digital Image Processing using SCILAB

Author: Rohit M. Thanki,Ashish M. Kothari

Publisher: Springer

ISBN: 3319895338

Category: Technology & Engineering

Page: 154

View: 1627

This book provides basic theories and implementations using SCILAB open-source software for digital images. The book simplifies image processing theories and well as implementation of image processing algorithms, making it accessible to those with basic knowledge of image processing. This book includes many SCILAB programs at the end of each theory, which help in understanding concepts. The book includes more than sixty SCILAB programs of the image processing theory. In the appendix, readers will find a deeper glimpse into the research areas in the image processing.