Fundamentals of Three-dimensional Digital Image Processing

Author: Junichiro Toriwaki,Hiroyuki Yoshida

Publisher: Springer Science & Business Media

ISBN: 184800172X

Category: Computers

Page: 269

View: 6094

This book is a detailed description of the basics of three-dimensional digital image processing. A 3D digital image (abbreviated as “3D image” below) is a digitalized representation of a 3D object or an entire 3D space, stored in a computer as a 3D array. Whereas normal digital image processing is concerned with screens that are a collection of square shapes called “pixels” and their corresponding density levels, the “image plane” in three dimensions is represented by a division into cubical graphical elements (called “voxels”) that represent corresponding density levels. Inthecontextofimageprocessing,in manycases3Dimageprocessingwill refer to the input of multiple 2D images and performing processing in order to understand the 3D space (or “scene”) that they depict. This is a result of research into how to use input from image sensors such as television cameras as a basis for learning about a 3D scene, thereby replicating the sense of vision for humans or intelligent robots, and this has been the central problem in image processing research since the 1970s. However, a completely di?erent type of image with its own new problems, the 3D digital image discussed in this book, rapidly took prominence in the 1980s, particularly in the ?eld of medical imaging. These were recordings of human bodies obtained through computed (or “computerized”) tomography (CT),imagesthatrecordednotonlytheexternal,visiblesurfaceofthesubject but also, to some degree of resolution, its internal structure. This was a type of image that no one had experienced before.

Fundamentals of Digital Image Processing

A Practical Approach with Examples in Matlab

Author: Chris Solomon,Toby Breckon

Publisher: John Wiley & Sons

ISBN: 1119957001

Category: Science

Page: 344

View: 8988

This is an introductory to intermediate level text on the science of image processing, which employs the Matlab programming language to illustrate some of the elementary, key concepts in modern image processing and pattern recognition. The approach taken is essentially practical and the book offers a framework within which the concepts can be understood by a series of well chosen examples, exercises and computer experiments, drawing on specific examples from within science, medicine and engineering. Clearly divided into eleven distinct chapters, the book begins with a fast-start introduction to image processing to enhance the accessibility of later topics. Subsequent chapters offer increasingly advanced discussion of topics involving more challenging concepts, with the final chapter looking at the application of automated image classification (with Matlab examples) . Matlab is frequently used in the book as a tool for demonstrations, conducting experiments and for solving problems, as it is both ideally suited to this role and is widely available. Prior experience of Matlab is not required and those without access to Matlab can still benefit from the independent presentation of topics and numerous examples. Features a companion website containing a Matlab fast-start primer, further exercises, examples, instructor resources and accessibility to all files corresponding to the examples and exercises within the book itself. Includes numerous examples, graded exercises and computer experiments to support both students and instructors alike.

Fundamentals of Digital Image Processing

Author: Anil K. Jain

Publisher: N.A

ISBN: 9780133325782

Category: Image processing

Page: 569

View: 2147

An overview of the major topics in digital image processing, representation, processing techniques and communication, this work starts by presenting the mathematical tools required to handle image processing problems. It then discusses the major topics to enable the reader to learn the underlying techniques and concepts.

Fundamentals of Electronic Imaging Systems

Some Aspects of Image Processing

Author: William F. Schreiber

Publisher: Springer Science & Business Media

ISBN: 364277847X

Category: Technology & Engineering

Page: 332

View: 1684

Image processing is a fascinating applications area, not a fundamental science of sufficient generality to warrant studying it for its own sake. In this area, there are many opportunities to apply art and experience, as well as knowledge from a number of sciences and engineering disciplines, to the creation of products and processes for which society has an expressed need. Without this need, work in the field would be sterile, but with it, image processing can readily provide the interested scientist or engineer with a professioilal lifetime of challenging problems and corresponding rewards. This point of view motivates this book and has influenced the selection and treatment of topics. I have not attempted to 1 be encyclopedic; this service has already been performed by others. It will be noted that the word "digital" is not in the title of this book. While much of present-day image processing is implemented digitally, this work is not intended for those who think of image processing as a branch of digital signal processing, except, perhaps, to try to change their minds. Image gathering and image display, vital parts of the field with strong effects on image quality, are inherently analog, as are all of the channels and media now used, or likely to be used in the future, to record TV signals and to transmit them to the home.

Digital Image Processing

A Signal Processing and Algorithmic Approach

Author: D. Sundararajan

Publisher: Springer

ISBN: 9811061130

Category: Computers

Page: 468

View: 1919

This book offers readers an essential introduction to the fundamentals of digital image processing. Pursuing a signal processing and algorithmic approach, it makes the fundamentals of digital image processing accessible and easy to learn. It is written in a clear and concise manner with a large number of 4 x 4 and 8 x 8 examples, figures and detailed explanations. Each concept is developed from the basic principles and described in detail with equal emphasis on theory and practice. The book is accompanied by a companion website that provides several MATLAB programs for the implementation of image processing algorithms. The book also offers comprehensive coverage of the following topics: Enhancement, Transform processing, Restoration, Registration, Reconstruction from projections, Morphological image processing, Edge detection, Object representation and classification, Compression, and Color processing.

Digitale Bildverarbeitung

Eine Einführung mit Java und ImageJ

Author: Wilhelm Burger,Mark James Burge

Publisher: Springer-Verlag

ISBN: 354027653X

Category: Computers

Page: 532

View: 8625

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.

Optical and Digital Image Processing

Fundamentals and Applications

Author: Gabriel Cristobal,Peter Schelkens,Hugo Thienpont

Publisher: John Wiley & Sons

ISBN: 3527635262

Category: Technology & Engineering

Page: 988

View: 437

In recent years, Moore's law has fostered the steady growth of the field of digital image processing, though the computational complexity remains a problem for most of the digital image processing applications. In parallel, the research domain of optical image processing has matured, potentially bypassing the problems digital approaches were suffering and bringing new applications. The advancement of technology calls for applications and knowledge at the intersection of both areas but there is a clear knowledge gap between the digital signal processing and the optical processing communities. This book covers the fundamental basis of the optical and image processing techniques by integrating contributions from both optical and digital research communities to solve current application bottlenecks, and give rise to new applications and solutions. Besides focusing on joint research, it also aims at disseminating the knowledge existing in both domains. Applications covered include image restoration, medical imaging, surveillance, holography, etc... "a very good book that deserves to be on the bookshelf of a serious student or scientist working in these areas." Source: Optics and Photonics News

Fundamentals of Digital Imaging in Medicine

Author: Roger Bourne

Publisher: Springer Science & Business Media

ISBN: 9781848820876

Category: Medical

Page: 200

View: 8599

In general, image processing texts are intended for students of engineering and computer science, and there is little written at all on the specific requirements of medical image processing. Students of medical radiation science (Diagnostic radiography, Nuclear medicine, Radiation therapy) usually have minimal mathematical and computer science training and find the available texts incomprehensible. A text that explains the principles of image processing in minimally-mathematical language is needed for these students. Contrary to the claims of some textbook authors, the vast majority of technologists that process images do not need to understand the mathematics involved, but would nevertheless benefit from a thorough understanding of the general process.

Digital Image Processing

Author: Rafael C Gonzalez

Publisher: Pearson Education India

ISBN: 9788131726952

Category: Image analysis

Page: 954

View: 2260

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.

Image Processing and Pattern Recognition

Fundamentals and Techniques

Author: Frank Y. Shih

Publisher: John Wiley & Sons

ISBN: 9780470590409

Category: Technology & Engineering

Page: 552

View: 1171

A comprehensive guide to the essential principles of image processing and pattern recognition Techniques and applications in the areas of image processing and pattern recognition are growing at an unprecedented rate. Containing the latest state-of-the-art developments in the field, Image Processing and Pattern Recognition presents clear explanations of the fundamentals as well as the most recent applications. It explains the essential principles so readers will not only be able to easily implement the algorithms and techniques, but also lead themselves to discover new problems and applications. Unlike other books on the subject, this volume presents numerous fundamental and advanced image processing algorithms and pattern recognition techniques to illustrate the framework. Scores of graphs and examples, technical assistance, and practical tools illustrate the basic principles and help simplify the problems, allowing students as well as professionals to easily grasp even complicated theories. It also features unique coverage of the most interesting developments and updated techniques, such as image watermarking, digital steganography, document processing and classification, solar image processing and event classification, 3-D Euclidean distance transformation, shortest path planning, soft morphology, recursive morphology, regulated morphology, and sweep morphology. Additional topics include enhancement and segmentation techniques, active learning, feature extraction, neural networks, and fuzzy logic. Featuring supplemental materials for instructors and students, Image Processing and Pattern Recognition is designed for undergraduate seniors and graduate students, engineering and scientific researchers, and professionals who work in signal processing, image processing, pattern recognition, information security, document processing, multimedia systems, and solar physics.

Digital Image Analysis of Microbes

Imaging, Morphometry, Fluorometry and Motility Techniques and Applications

Author: M. H. F. Wilkinson,F. Schut

Publisher: John Wiley & Sons

ISBN: 9780471974406

Category: Science

Page: 551

View: 7830

Providing specific knowledge in the theory of image analysis, optics, fluorescence, and imaging devices in biomedical laboratories, this timely and indispensable volume focuses on the theory and applications of detection, morphometry, and motility measurement techniques applied to bacteria, fungi, yeasts and protozoa.

Biomedical Image Processing

Author: Thomas Martin Deserno

Publisher: Springer Science & Business Media

ISBN: 9783642158162

Category: Science

Page: 595

View: 5508

In modern medicine, imaging is the most effective tool for diagnostics, treatment planning and therapy. Almost all modalities have went to directly digital acquisition techniques and processing of this image data have become an important option for health care in future. This book is written by a team of internationally recognized experts from all over the world. It provides a brief but complete overview on medical image processing and analysis highlighting recent advances that have been made in academics. Color figures are used extensively to illustrate the methods and help the reader to understand the complex topics.

Digital Image Processing

Author: Sridhar,

Publisher: OUP India

ISBN: 9780198070788

Category: Technology & Engineering

Page: 656

View: 1478

Digital Image Processing is a fundamental textbook designed to cater to the needs of undergraduate engineering students of computer science, electronics and electrical engineering. The book aims to provide an understanding of the principles and various processing techniques of digital images to further the utility of images.



Author: Joshi, Madhuri A.

Publisher: PHI Learning Pvt. Ltd.

ISBN: 9387472590


Page: 480

View: 959

This introduction to the fundamental concepts and methodologies of image processing is suitable for first-year postgraduate and senior undergraduate students in almost every engineering discipline, and in particular meets the requirement of the prescribed courses in the streams: Electronics and Communication, Computer Science and Engineering, Information Technology, and Computer Applications. The book, now in its second edition, continues to offer a balanced exposition of the basic principles and applications of image processing. It lays considerable emphasis on the algorithmic approach in order to teach students how to write good practical programs for problem solving. Major topics covered in the book include Image fundamentals, Different image transforms, Image enhancement in the spatial and frequency domains, Restoration, Image analysis, Image description, Image compression, Image reconstruction from projections, and Applications of image processing in the areas of biometrics, speaker recognition, satellite imaging, medical imaging, and many more. The style of presentation is comprehensive and application oriented, comprising examples, diagrams, image results, case studies of applications, and review questions—making it easy for students to understand key ideas, their practical relevance and applications. NEW TO THIS EDITION • Object representation, recognition and classification • MATLAB programs for image processing • OpenCV programs for image processing

Digital Image Fundamentals in MATLAB

Author: Mohammad Nuruzzaman

Publisher: N.A

ISBN: 9781420869651

Category: Mathematics

Page: 248

View: 2869

The book is mainly concerned with the fundamental Digital Image Processing (DIP) problems much found in the DIP textbooks. Emphasis has been given to the subjective implementation on the DIP problems while working in MATLAB. Starting from simplistic example without undue neglect of mathematical intricacies and making the reader able to tackle a practical DIP problem are the salient features of the text. However, the notable features of the text are as follows: A step by step guide for the Digital Image Processing undergraduate and graduate students while using MATLAB as their working platform Introduces modular image examples so that the reader can grasp the concept quickly and manipulate the practical images very easily Image processing engineers, teachers, researchers, and scientists willing to work in MATLAB may benefit from the text Made-easy approach and clear presentation style comfort the average reader to go through the Digital Image Processing know-how immediately Minute implementational descriptions are taken care of considering adequate image examples Suited to individual or classroom practice Ten chapters in the text narrate the following: 1. Introduction to MATLAB 2. Digital Image Fundamentals 3. Digital Images In Spatial Domain 4. Digital Image Transforms 5. Digital Image Filtering 6. Digital Image Properties and Edges 7. Image Degradation and Restoration 8. Morphological Image Processing 9. Miscellaneous Image Processing 10. Programming Issues

Fundamentals of Machine Vision

Author: Harley R. Myler

Publisher: SPIE Press

ISBN: 9780819430496

Category: Computers

Page: 133

View: 5917

Machine vision has come of age as an established, respected field of research and application with a strong theoretical foundation. The term 'machine vision' has various definitions, depending on one's field, such as computer vision, image understanding, scene analysis, or robotics. In this Tutorial Text, machine vision specifically refers to the study and implementation of systems that allow machines to recognize objects from acquired image data and perform useful tasks from that recognition. This book is intended to help readers understand and construct machine vision systems that perform useful tasks, based on the current state of the art. It covers fundamentals drawn from image processing and computer graphics to the methods of applied machine vision techniques. The text is useful as a short course supplement, as a self-study guide, or as a primary or supplementary text in an advanced undergraduate or graduate course.