Digital Image Processing and Analysis

Digital Image Processing and Analysis

This book takes an engineering approach to image processing and analysis, including more examples and images throughout the text than the previous edition.

Author: Scott E Umbaugh

Publisher: CRC Press

ISBN: 9781498766074

Category: Technology & Engineering

Page: 873

View: 383

Digital image processing and analysis is a field that continues to experience rapid growth, with applications in many facets of our lives. Areas such as medicine, agriculture, manufacturing, transportation, communication systems, and space exploration are just a few of the application areas. This book takes an engineering approach to image processing and analysis, including more examples and images throughout the text than the previous edition. It provides more material for illustrating the concepts, along with new PowerPoint slides. The application development has been expanded and updated, and the related chapter provides step-by-step tutorial examples for this type of development. The new edition also includes supplementary exercises, as well as MATLAB-based exercises, to aid both the reader and student in development of their skills.
Categories: Technology & Engineering

Image Processing Analysis and Machine Vision

Image Processing  Analysis  and Machine Vision

The brand new edition of IMAGE PROCESSING, ANALYSIS, AND MACHINE VISION is a robust text providing deep and wide coverage of the full range of topics encountered in the field of image processing and machine vision.

Author: Milan Sonka

Publisher: Cengage Learning

ISBN: 9781133593607

Category: Technology & Engineering

Page: 920

View: 441

The brand new edition of IMAGE PROCESSING, ANALYSIS, AND MACHINE VISION is a robust text providing deep and wide coverage of the full range of topics encountered in the field of image processing and machine vision. As a result, it can serve undergraduates, graduates, researchers, and professionals looking for a readable reference. The book's encyclopedic coverage of topics is wide, and it can be used in more than one course (both image processing and machine vision classes). In addition, while advanced mathematics is not needed to understand basic concepts (making this a good choice for undergraduates), rigorous mathematical coverage is included for more advanced readers. It is also distinguished by its easy-to-understand algorithm descriptions of difficult concepts, and a wealth of carefully selected problems and examples. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.
Categories: Technology & Engineering

Handbook of Medical Imaging Medical image processing and analysis

Handbook of Medical Imaging  Medical image processing and analysis

Volume 2 addresses the methods in use or in development for enhancing the visual perception of digital medical images obtained by a wide variety of imaging modalities and for image analysis as an aid to detection and diagnosis.

Author: Jacob Beutel

Publisher: SPIE Press

ISBN: 0819436224

Category: Medical

Page: 1218

View: 303

Volume 2 addresses the methods in use or in development for enhancing the visual perception of digital medical images obtained by a wide variety of imaging modalities and for image analysis as an aid to detection and diagnosis.
Categories: Medical

Examining Fractal Image Processing and Analysis

Examining Fractal Image Processing and Analysis

"This book examines the recent trends and applications of fractal image analysis and processing such as box-counting analysis, multi-fractal analysis, 3D fractal analysis, chaos theory, texture analysis, color imaging, and pattern ...

Author: Soumya Ranjan Nayak

Publisher: Engineering Science Reference

ISBN: 1799800660

Category: Computers

Page: 350

View: 378

"This book examines the recent trends and applications of fractal image analysis and processing such as box-counting analysis, multi-fractal analysis, 3D fractal analysis, chaos theory, texture analysis, color imaging, and pattern recognition"--
Categories: Computers

Handbook of Medical Image Processing and Analysis

Handbook of Medical Image Processing and Analysis

Medical image analysis benefits significantly from the precise, fast, repeatable,
and objective measurements made by computational resources. These
quantitative measurements contribute to the analysis of structure and function in
normal ...

Author: Isaac Bankman

Publisher: Elsevier

ISBN: 008055914X

Category: Computers

Page: 1000

View: 528

The Handbook of Medical Image Processing and Analysis is a comprehensive compilation of concepts and techniques used for processing and analyzing medical images after they have been generated or digitized. The Handbook is organized into six sections that relate to the main functions: enhancement, segmentation, quantification, registration, visualization, and compression, storage and communication. The second edition is extensively revised and updated throughout, reflecting new technology and research, and includes new chapters on: higher order statistics for tissue segmentation; tumor growth modeling in oncological image analysis; analysis of cell nuclear features in fluorescence microscopy images; imaging and communication in medical and public health informatics; and dynamic mammogram retrieval from web-based image libraries. For those looking to explore advanced concepts and access essential information, this second edition of Handbook of Medical Image Processing and Analysis is an invaluable resource. It remains the most complete single volume reference for biomedical engineers, researchers, professionals and those working in medical imaging and medical image processing. Dr. Isaac N. Bankman is the supervisor of a group that specializes on imaging, laser and sensor systems, modeling, algorithms and testing at the Johns Hopkins University Applied Physics Laboratory. He received his BSc degree in Electrical Engineering from Bogazici University, Turkey, in 1977, the MSc degree in Electronics from University of Wales, Britain, in 1979, and a PhD in Biomedical Engineering from the Israel Institute of Technology, Israel, in 1985. He is a member of SPIE. Includes contributions from internationally renowned authors from leading institutions NEW! 35 of 56 chapters have been revised and updated. Additionally, five new chapters have been added on important topics incluling Nonlinear 3D Boundary Detection, Adaptive Algorithms for Cancer Cytological Diagnosis, Dynamic Mammogram Retrieval from Web-Based Image Libraries, Imaging and Communication in Health Informatics and Tumor Growth Modeling in Oncological Image Analysis. Provides a complete collection of algorithms in computer processing of medical images Contains over 60 pages of stunning, four-color images
Categories: Computers

Genetic and Evolutionary Computation for Image Processing and Analysis

Genetic and Evolutionary Computation for Image Processing and Analysis

Introduction In this chapter, we focus on halftone image generation using
evolutionary computation (EC). Image halftoning is an important technique in the
printing and display industry, in which an N-gray tone image must be properly
portrayed ...

Author: Stefano Cagnoni

Publisher: Hindawi Publishing Corporation

ISBN: 9789774540011

Category: Computers

Page: 466

View: 817

Categories: Computers

Image Processing and Analysis with Graphs

Image Processing and Analysis with Graphs

Although being very different from one another, all these application areas rely
on similar image processing and analysis techniques. The field of image or video
processing analysis is very broad, encompassing a wide variety of research ...

Author: Olivier Lezoray

Publisher: CRC Press

ISBN: 9781439855089

Category: Computers

Page: 570

View: 518

Covering the theoretical aspects of image processing and analysis through the use of graphs in the representation and analysis of objects, Image Processing and Analysis with Graphs: Theory and Practice also demonstrates how these concepts are indispensible for the design of cutting-edge solutions for real-world applications. Explores new applications in computational photography, image and video processing, computer graphics, recognition, medical and biomedical imaging With the explosive growth in image production, in everything from digital photographs to medical scans, there has been a drastic increase in the number of applications based on digital images. This book explores how graphs—which are suitable to represent any discrete data by modeling neighborhood relationships—have emerged as the perfect unified tool to represent, process, and analyze images. It also explains why graphs are ideal for defining graph-theoretical algorithms that enable the processing of functions, making it possible to draw on the rich literature of combinatorial optimization to produce highly efficient solutions. Some key subjects covered in the book include: Definition of graph-theoretical algorithms that enable denoising and image enhancement Energy minimization and modeling of pixel-labeling problems with graph cuts and Markov Random Fields Image processing with graphs: targeted segmentation, partial differential equations, mathematical morphology, and wavelets Analysis of the similarity between objects with graph matching Adaptation and use of graph-theoretical algorithms for specific imaging applications in computational photography, computer vision, and medical and biomedical imaging Use of graphs has become very influential in computer science and has led to many applications in denoising, enhancement, restoration, and object extraction. Accounting for the wide variety of problems being solved with graphs in image processing and computer vision, this book is a contributed volume of chapters written by renowned experts who address specific techniques or applications. This state-of-the-art overview provides application examples that illustrate practical application of theoretical algorithms. Useful as a support for graduate courses in image processing and computer vision, it is also perfect as a reference for practicing engineers working on development and implementation of image processing and analysis algorithms.
Categories: Computers

Introduction to Image Processing and Analysis

Introduction to Image Processing and Analysis

Introduction. Assumptions This text is intended to introduce students to the
programming involved in image processing and analysis. The student is
assumed to have some previous programming experience, and to be able to use
a C compiler ...

Author: John C. Russ

Publisher: CRC Press

ISBN: 9781420006490

Category: Technology & Engineering

Page: 376

View: 569

Image processing comprises a broad variety of methods that operate on images to produce another image. A unique textbook, Introduction to Image Processing and Analysis establishes the programming involved in image processing and analysis by utilizing skills in C compiler and both Windows and MacOS programming environments. The provided mathematical background illustrates the workings of algorithms and emphasizes the practical reasons for using certain methods, their effects on images, and their appropriate applications. The text concentrates on image processing and measurement and details the implementation of many of the most widely used and most important image processing and analysis algorithms. Homework problems are included in every chapter with solutions available for download from the CRC Press website The chapters work together to combine image processing with image analysis. The book begins with an explanation of familiar pixel array and goes on to describe the use of frequency space. Chapters 1 and 2 deal with the algorithms used in processing steps that are usually accomplished by a combination of measurement and processing operations, as described in chapters 3 and 4. The authors present each concept using a mixture of three mutually supportive tools: a description of the procedure with example images, the relevant mathematical equations behind each concept, and the simple source code (in C), which illustrates basic operations. In particularly, the source code provides a starting point to develop further modifications. Written by John Russ, author of esteemed Image Processing Handbook now in its fifth edition, this book demonstrates functions to improve an image's of features and detail visibility, improve images for printing or transmission, and facilitate subsequent analysis.
Categories: Technology & Engineering

Image Processing and Analysis

Image Processing and Analysis

Chapter 6 Image Inpainting Interpolation has been a significant topic in a number
of areas including numerical analysis; computational PDEs; approximation theory
; real, complex, and harmonic analysis; and signal processing. In image ...

Author: Tony F. Chan

Publisher: SIAM

ISBN: 9780898715897

Category: Computers

Page: 400

View: 375

This book develops the mathematical foundation of modern image processing and low-level computer vision, bridging contemporary mathematics with state-of-the-art methodologies in modern image processing, whilst organizing contemporary literature into a coherent and logical structure. The authors have integrated the diversity of modern image processing approaches by revealing the few common threads that connect them to Fourier and spectral analysis, the machinery that image processing has been traditionally built on. The text is systematic and well organized: the geometric, functional, and atomic structures of images are investigated, before moving to a rigorous development and analysis of several image processors. The book is comprehensive and integrative, covering the four most powerful classes of mathematical tools in contemporary image analysis and processing while exploring their intrinsic connections and integration. The material is balanced in theory and computation, following a solid theoretical analysis of model building and performance with computational implementation and numerical examples.
Categories: Computers

Image Processing And Analysis A Primer

Image Processing And Analysis  A Primer

SUSAN – A new approach to low level image processing, International Journal of
Computer Vision 23, 1, pp. 45–78. Soille, P. (2004). Morphological Image
Analysis: Principles and Applications, 2nd edn. (Springer-Verlag, Berlin
Heidelberg).

Author: Gimel'farb Georgy

Publisher: World Scientific

ISBN: 9781786345837

Category: Computers

Page: 248

View: 573

This textbook guides readers through their first steps into the challenging world of mimicking human vision with computational tools and techniques pertaining to the field of image processing and analysis. While today's theoretical and applied processing and analysis of images meet with challenging and complex problems, this primer is confined to a much simpler, albeit critical, collection of image-to-image transformations, including image normalisation, enhancement, and filtering.It serves as an introduction to beginners, a refresher for undergraduate and graduate students, as well as engineers and computer scientists confronted with a problem to solve in computer vision. The book covers basic image processing/computer vision pipeline techniques, which are widely used in today's computer vision, computer graphics, and image processing, giving the readers enough knowledge to successfully tackle a wide range of applied problems.
Categories: Computers

Mathematical Foundations of Image Processing and Analysis

Mathematical Foundations of Image Processing and Analysis

Part 4 entitled“Ten Main Functional Frameworks for Gray Tone Images” focuses
on the main mathematical (functional) frameworks forgraytone image processing
and analysis, detailedin 10 chapters. Part5 and 6, entitled “Twelve Main ...

Author: Jean-Charles Pinoli

Publisher: John Wiley & Sons

ISBN: 9781118984550

Category: Technology & Engineering

Page: 496

View: 552

Mathematical Imaging is currently a rapidly growing field inapplied mathematics, with an increasing need for theoreticalmathematics. This book, the second of two volumes, emphasizes the role ofmathematics as a rigorous basis for imaging sciences. It provides acomprehensive and convenient overview of the key mathematicalconcepts, notions, tools and frameworks involved in the variousfields of gray-tone and binary image processing and analysis, byproposing a large, but coherent, set of symbols and notations, acomplete list of subjects and a detailed bibliography. Itestablishes a bridge between the pure and applied mathematicaldisciplines, and the processing and analysis of gray-tone andbinary images. It is accessible to readers who have neitherextensive mathematical training, nor peer knowledge in ImageProcessing and Analysis. It is a self-contained book focusing on the mathematicalnotions, concepts, operations, structures, and frameworks that arebeyond or involved in Image Processing and Analysis. The notationsare simplified as far as possible in order to be more explicativeand consistent throughout the book and the mathematical aspects aresystematically discussed in the image processing and analysiscontext, through practical examples or concrete illustrations.Conversely, the discussed applicative issues allow the role ofmathematics to be highlighted. Written for a broad audience – students, mathematicians,image processing and analysis specialists, as well as otherscientists and practitioners – the author hopes that readerswill find their own way of using the book, thus providing amathematical companion that can help mathematicians become morefamiliar with image processing and analysis, and likewise, imageprocessing and image analysis scientists, researchers and engineersgain a deeper understanding of mathematical notions andconcepts.
Categories: Technology & Engineering

Advanced Color Image Processing and Analysis

Advanced Color Image Processing and Analysis

Chapter 15 Application of Spectral Imaging to Electronic Endoscopes Yoichi
Miyake I have a dream, that my four little ... Analysis and evaluation of digital
color images, 2000; Miyake, Manual of spectral image processing, 2006; Miyake
and ...

Author: Christine Fernandez-Maloigne

Publisher: Springer Science & Business Media

ISBN: 9781441961907

Category: Technology & Engineering

Page: 515

View: 911

This volume does much more than survey modern advanced color processing. Starting with a historical perspective on ways we have classified color, it sets out the latest numerical techniques for analyzing and processing colors, the leading edge in our search to accurately record and print what we see. The human eye perceives only a fraction of available light wavelengths, yet we live in a multicolor world of myriad shining hues. Colors rich in metaphorical associations make us “purple with rage” or “green with envy” and cause us to “see red.” Defining colors has been the work of centuries, culminating in today’s complex mathematical coding that nonetheless remains a work in progress: only recently have we possessed the computing capacity to process the algebraic matrices that reproduce color more accurately. With chapters on dihedral color and image spectrometers, this book provides technicians and researchers with the knowledge they need to grasp the intricacies of today’s color imaging.
Categories: Technology & Engineering

Handbook of Medical Imaging

Handbook of Medical Imaging

The Handbook of Medical Imaging is the first comprehensive compilation of the concepts and techniques used to analyze and manipulate medical images after they have been generated or digitized.

Author:

Publisher: Academic Press

ISBN: 0080533108

Category: Technology & Engineering

Page: 901

View: 322

In recent years, the remarkable advances in medical imaging instruments have increased their use considerably for diagnostics as well as planning and follow-up of treatment. Emerging from the fields of radiology, medical physics and engineering, medical imaging no longer simply deals with the technology and interpretation of radiographic images. The limitless possibilities presented by computer science and technology, coupled with engineering advances in signal processing, optics and nuclear medicine have created the vastly expanded field of medical imaging. The Handbook of Medical Imaging is the first comprehensive compilation of the concepts and techniques used to analyze and manipulate medical images after they have been generated or digitized. The Handbook is organized in six sections that relate to the main functions needed for processing: enhancement, segmentation, quantification, registration, visualization as well as compression storage and telemedicine. * Internationally renowned authors(Johns Hopkins, Harvard, UCLA, Yale, Columbia, UCSF) * Includes imaging and visualization * Contains over 60 pages of stunning, four-color images
Categories: Technology & Engineering

The Image Processing Handbook

The Image Processing Handbook

Incorporating image processing and analysis examples at all scales, from nano- to astro-, this Seventh Edition: Features a greater range of computationally intensive algorithms than previous versions Provides better organization, more ...

Author: John C. Russ

Publisher: CRC Press

ISBN: 9781498740289

Category: Technology & Engineering

Page: 1035

View: 314

Consistently rated as the best overall introduction to computer-based image processing, The Image Processing Handbook covers two-dimensional (2D) and three-dimensional (3D) imaging techniques, image printing and storage methods, image processing algorithms, image and feature measurement, quantitative image measurement analysis, and more. Incorporating image processing and analysis examples at all scales, from nano- to astro-, this Seventh Edition: Features a greater range of computationally intensive algorithms than previous versions Provides better organization, more quantitative results, and new material on recent developments Includes completely rewritten chapters on 3D imaging and a thoroughly revamped chapter on statistical analysis Contains more than 1700 references to theory, methods, and applications in a wide variety of disciplines Presents 500+ entirely new figures and images, with more than two-thirds appearing in color The Image Processing Handbook, Seventh Edition delivers an accessible and up-to-date treatment of image processing, offering broad coverage and comparison of algorithms, approaches, and outcomes.
Categories: Technology & Engineering

Digital Image Processing

Digital Image Processing

Image processing is about to mature to a welldeveloped science . The deeper
understanding has also led to a more realistic assessment of today's capabilities
of image processing and analysis , which in many respects is still worlds away ...

Author: Bernd Jähne

Publisher: Springer Science & Business Media

ISBN: 3540240357

Category: Technology & Engineering

Page: 608

View: 184

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.
Categories: Technology & Engineering

Medical Image Processing

Medical Image Processing

The book is designed for end users in the field of digital imaging, who wish to update their skills and understanding with the latest techniques in image analysis.

Author: Geoff Dougherty

Publisher: Springer Science & Business Media

ISBN: 1441997792

Category: Technology & Engineering

Page: 380

View: 555

The book is designed for end users in the field of digital imaging, who wish to update their skills and understanding with the latest techniques in image analysis. The book emphasizes the conceptual framework of image analysis and the effective use of image processing tools. It uses applications in a variety of fields to demonstrate and consolidate both specific and general concepts, and to build intuition, insight and understanding. Although the chapters are essentially self-contained they reference other chapters to form an integrated whole. Each chapter employs a pedagogical approach to ensure conceptual learning before introducing specific techniques and “tricks of the trade”. The book concentrates on a number of current research applications, and will present a detailed approach to each while emphasizing the applicability of techniques to other problems. The field of topics is wide, ranging from compressive (non-uniform) sampling in MRI, through automated retinal vessel analysis to 3-D ultrasound imaging and more. The book is amply illustrated with figures and applicable medical images. The reader will learn the techniques which experts in the field are currently employing and testing to solve particular research problems, and how they may be applied to other problems.
Categories: Technology & Engineering

Digital Image Processing Algorithms and Applications

Digital Image Processing Algorithms and Applications

Preface Digital image processing , analysis , and computer vision have exhibited
an impressive growth in the past decades , in terms of both theoretical
development and applications . They constitute a leading technology in a number
of very ...

Author: Ioannis Pitas

Publisher: John Wiley & Sons

ISBN: 0471377392

Category: Technology & Engineering

Page: 432

View: 836

A unique collection of algorithms and lab experiments for practitioners and researchers of digital image processing technology With the field of digital image processing rapidly expanding, there is a growing need for a book that would go beyond theory and techniques to address the underlying algorithms. Digital Image Processing Algorithms and Applications fills the gap in the field, providing scientists and engineers with a complete library of algorithms for digital image processing, coding, and analysis. 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. The author guides readers through all facets of the technology, supplementing the discussion with detailed lab exercises in EIKONA, his own digital image processing software, as well as useful PDF transparencies. He covers in depth filtering and enhancement, transforms, compression, edge detection, region segmentation, and shape analysis, explaining at every step the relevant theory, algorithm structure, and its use for problem solving in various applications. The availability of the lab exercises and the source code (all algorithms are presented in C-code) over the Internet makes the book an invaluable self-study guide. It also lets interested readers develop digital image processing applications on ordinary desktop computers as well as on Unix machines.
Categories: Technology & Engineering

Medical Image Processing Reconstruction and Analysis

Medical Image Processing  Reconstruction and Analysis

This book aims at being a single-source reference providing such foundations in the form of theoretical yet clear and easy to follow explanations of underlying generic concepts.

Author: Jiri Jan

Publisher: CRC Press

ISBN: 9781351387903

Category: Medical

Page: 574

View: 105

Differently oriented specialists and students involved in image processing and analysis need to have a firm grasp of concepts and methods used in this now widely utilized area. This book aims at being a single-source reference providing such foundations in the form of theoretical yet clear and easy to follow explanations of underlying generic concepts. Medical Image Processing, Reconstruction and Analysis – Concepts and Methods explains the general principles and methods of image processing and analysis, focusing namely on applications used in medical imaging. The content of this book is divided into three parts: Part I – Images as Multidimensional Signals provides the introduction to basic image processing theory, explaining it for both analogue and digital image representations. Part II – Imaging Systems as Data Sources offers a non-traditional view on imaging modalities, explaining their principles influencing properties of the obtained images that are to be subsequently processed by methods described in this book. Newly, principles of novel modalities, as spectral CT, functional MRI, ultrafast planar-wave ultrasonography and optical coherence tomography are included. Part III – Image Processing and Analysis focuses on tomographic image reconstruction, image fusion and methods of image enhancement and restoration; further it explains concepts of low-level image analysis as texture analysis, image segmentation and morphological transforms. A new chapter deals with selected areas of higher-level analysis, as principal and independent component analysis and particularly the novel analytic approach based on deep learning. Briefly, also the medical image-processing environment is treated, including processes for image archiving and communication. Features Presents a theoretically exact yet understandable explanation of image processing and analysis concepts and methods Offers practical interpretations of all theoretical conclusions, as derived in the consistent explanation Provides a concise treatment of a wide variety of medical imaging modalities including novel ones, with respect to properties of provided image data
Categories: Medical