Digital Image Processing

Author: Rafael C. Gonzalez,Richard E. Woods

Publisher: Pearson Higher Ed

ISBN: 0133002322

Category: Technology & Engineering

Page: 976

View: 1595

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

Author: Jayaraman

Publisher: Tata McGraw-Hill Education

ISBN: 9780070144798

Category: Image processing

Page: 723

View: 8807

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 Methods

Author: Dougherty

Publisher: CRC Press

ISBN: 9780824789275

Category: Technology & Engineering

Page: 504

View: 1949

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.

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: 5087

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.

Digital Image Processing

Author: Bernd Jähne

Publisher: Springer Science & Business Media

ISBN: 9783540240358

Category: Technology & Engineering

Page: 608

View: 8361

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.

Binary Digital Image Processing

A Discrete Approach

Author: Stéphane Marchand-Maillet,Yazid M. Sharaiha

Publisher: Elsevier

ISBN: 9780080527826

Category: Technology & Engineering

Page: 368

View: 1040

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

Digitale Bildverarbeitung

Author: Bernd Jähne

Publisher: N.A

ISBN: 9783540506645

Category: Image processing

Page: 331

View: 8533

Diese praxisorientierte Einf hrung baut auf Prinzipien und mathematischen Methoden auf, die aus Naturwissenschaft und Technik bekannt sind; es werden keine speziellen Kenntnisse der Informatik vorausgesetzt. Das Buch f hrt von den Grundlagen zu den modernen Konzepten der Bildverarbeitung. Es behandelt: Bildaufnahme; Bildverbesserung; Lineare und nichtlineare Filteroperationen zur Erkennung von Kanten, lokaler Orientierung und Textur; Pyramiden; Segmentierung und Klassifizierung. Weitere Kapitel befassen sich mit der Rekonstruktion dreidimensionaler Bilder aus Projektionen und mit Gradienten-, Korrelations- und Filterverfahren zur Analyse von Bewegungen in Bildfolgen. Praktische Beispiele aus zahlreichen Fachgebieten illustrieren - zum Teil in Farbe - die Darstellung. Sie zeigen dem Leser, da selbst komplexe Aufgaben mit kosteng nstigen Bildverarbeitungssystemen auf der Basis eines Personalcomputers durchf hrbar sind. Das Buch wendet sich an Studenten, Naturwissenschaftler und Ingenieure, die sich mit digitaler Bildverarbeitung und ihrer praktischen Anwendungsm glichkeit in Wissenschaft und Technik vertraut machen wollen.

Digital Image Processing

Author: Abhishak Yadav,Poonam Yadav

Publisher: Laxmi Publications

ISBN: 9788131805244

Category:

Page: 224

View: 2590

Digital Image Processing

Mathematical and Computational Methods

Author: J M Blackledge

Publisher: Elsevier

ISBN: 0857099469

Category: Computers

Page: 824

View: 828

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 for Medical Applications

Author: Geoff Dougherty

Publisher: Cambridge University Press

ISBN: 9781139476294

Category: Technology & Engineering

Page: 462

View: 8744

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.

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: 7335

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.

Digital Image Processing

An Algorithmic Introduction Using Java

Author: Wilhelm Burger,Mark J. Burge

Publisher: Springer

ISBN: 1447166841

Category: Computers

Page: 811

View: 4820

This revised and expanded new edition of an internationally successful classic presents an accessible introduction to the key methods in digital image processing for both practitioners and teachers. Emphasis is placed on practical application, presenting precise algorithmic descriptions in an unusually high level of detail, while highlighting direct connections between the mathematical foundations and concrete implementation. The text is supported by practical examples and carefully constructed chapter-ending exercises drawn from the authors' years of teaching experience, including easily adaptable Java code and completely worked out examples. Source code, test images and additional instructor materials are also provided at an associated website. Digital Image Processing is the definitive textbook for students, researchers, and professionals in search of critical analysis and modern implementations of the most important algorithms in the field, and is also eminently suitable for self-study.

Digital Image Processing for Ophthalmology

Detection of the Optic Nerve Head

Author: Xiaolu Zhu,Rangaraj M. Rangayyan,Anna L. Ells

Publisher: Morgan & Claypool Publishers

ISBN: 1608456315

Category: Technology & Engineering

Page: 90

View: 9554

This book presents an introduction to diagnostic imaging of the retina and an overview of image processing techniques for ophthalmology. In particular, digital image processing algorithms and pattern analysis techniques for the detection of the ONH are described. In fundus images, the ONH usually appears as a bright region, white or yellow in color, and is indicated as the convergent area of the network of blood vessels. Use of the geometrical and intensity characteristics of the ONH, as well as the property that the ONH represents the location of entrance of the blood vessels and the optic nerve into the retina, is demonstrated in developing the methods. The image processing techniques described in the book include morphological filters for preprocessing fundus images, filters for edge detection, the Hough transform for the detection of lines and circles, Gabor filters to detect the blood vessels, and phase portrait analysis for the detection of convergent or node-like patterns. Illustrations of application of the methods to fundus images from two publicly available databases are presented, in terms of locating the center and the boundary of the ONH. Methods for quantitative evaluation of the results of detection of the ONH using measures of overlap and free-response receiver operating characteristics are also described.

Topological Algorithms for Digital Image Processing

Author: T.Y. Kong,A. Rosenfeld

Publisher: Elsevier

ISBN: 9780080552040

Category: Computers

Page: 291

View: 4612

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 Techniques

Author: Michael P. Ekstrom

Publisher: Academic Press

ISBN: 0323140165

Category: Technology & Engineering

Page: 372

View: 3333

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 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: 6761

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.

Applications of digital image processing XVI

14-16 July 1993, San Diego, California

Author: Andrew G. Tescher,Society of Photo-optical Instrumentation Engineers

Publisher: Society of Photo Optical

ISBN: N.A

Category: Computers

Page: 407

View: 8605

Digital Holography and Digital Image Processing

Principles, Methods, Algorithms

Author: Leonid Yaroslavsky

Publisher: Springer Science & Business Media

ISBN: 1475749880

Category: Computers

Page: 584

View: 3807

Digital holography and digital image processing are twins born by computer era. They share origin, theoretical base, methods and algorithms. The present book describes these common fundamentals principles, methods and algorithms including image and hologram digitization, data compression, digital transforms and efficient computational algorithms, statistical and Monte-Carlo methods, image restoration and enhancement, image reconstruction in tomography and digital holography, discrete signal resampling and image geometrical transformations, accurate measurements and reliable target localization in images, recording and reconstruction of computer generated holograms, adaptive and nonlinear filters for sensor signal perfecting and image restoration and enhancement. The book combines theory, heavily illustrated practical methods and efficient computational algorithms and is written for senior-level undergraduate and graduate students, researchers and engineers in optics, photonics, opto-electronics and electronic engineering.