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The Image Processing Handbook Seventh Edition

Author: John C. Russ
Publisher: CRC Press
ISBN: 1498740286
Size: 69.16 MB
Format: PDF, ePub, Docs
View: 2016
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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.

Image Processing

Author: Maria Petrou
Publisher: John Wiley & Sons
ISBN: 047074586X
Size: 15.76 MB
Format: PDF, Mobi
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Following the success of the first edition, this thoroughly updated second edition of Image Processing: The Fundamentals will ensure that it remains the ideal text for anyone seeking an introduction to the essential concepts of image processing. New material includes image processing and colour, sine and cosine transforms, Independent Component Analysis (ICA), phase congruency and the monogenic signal and several other new topics. These updates are combined with coverage of classic topics in image processing, such as orthogonal transforms and image enhancement, making this a truly comprehensive text on the subject. Key features: Presents material at two levels of difficulty: the main text addresses the fundamental concepts and presents a broad view of image processing, whilst more advanced material is interleaved in boxes throughout the text, providing further reference for those who wish to examine each technique in depth. Contains a large number of fully worked out examples. Focuses on an understanding of how image processing methods work in practice. Illustrates complex algorithms on a step-by-step basis, and lists not only the good practices but also identifies the pitfalls in each case. Uses a clear question and answer structure. Includes a CD containing the MATLAB® code of the various examples and algorithms presented in the book. There is also an accompanying website with slides available for download for instructors as a teaching resource. Image Processing: The Fundamentals, Second Edition is an ideal teaching resource for both undergraduate and postgraduate students. It will also be of value to researchers of various disciplines from medicine to mathematics with a professional interest in image processing

Introduction To Image Processing And Analysis

Author: John C. Russ
Publisher: CRC Press
ISBN: 1420006495
Size: 21.88 MB
Format: PDF, Kindle
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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.

Practical Handbook On Image Processing For Scientific And Technical Applications Second Edition

Author: Bernd Jahne
Publisher: CRC Press
ISBN: 9780849390302
Size: 55.85 MB
Format: PDF, ePub, Mobi
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Image processing is fast becoming a valuable tool for analyzing multidimensional data in all areas of natural science. Since the publication of the best-selling first edition of this handbook, the field of image processing has matured in many of its aspects from ad hoc, empirical approaches to a sound science based on established mathematical and physical principles. The Practical Handbook on Image Processing for Scientific and Technical Applications, Second Edition builds a sound basic knowledge of image processing, provides a critically evaluated collection of the best algorithms, and demonstrates those algorithms with real-world applications from many fields. It covers all aspects of image processing, from image formation to image analysis, and gives an up-to-date review of advanced concepts. Organized according to the hierarchy of tasks, each chapter includes a summary, an outline of the background the task requires, and a section of practical tips that help you avoid common errors and save valuable research time. New in the Second Edition: Expanded application areas now include technical fields such as the automotive industry, quality inspection, and materials science More practical tips in each chapter Discussion of digital camera interfaces and a comparison of CMOS vs. CCD cameras A section on wavelets Advanced techniques for reconstruction, new segmentation methods based on global optimization and anisotropic diffusion, and additional classification techniques, including neural networks, polynomial classification, and support vector machines Just as digital image processing provides the key to studying complex scientific problems that researchers once could only dream of tackling, this handbook unlocks the intricacies of image processing and brings its power and potential within the grasp of researchers across the spectrum of scientific and engineering disciplines.

Principles Of Digital Image Processing

Author: Wilhelm Burger
Publisher: Springer Science & Business Media
ISBN: 9781848001916
Size: 43.19 MB
Format: PDF, ePub, Mobi
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This easy-to-follow textbook provides 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 modern implementations of the most important techniques. It compiles the key elements of digital image processing, starting from the basic concepts and elementary properties of digital images through simple statistics and point operations, fundamental filtering techniques, localization of edges and contours, and basic operations on color images. This reader-friendly text concentrates on practical applications and working implementations, and presents the important formal details and mathematics necessary for a deeper understanding of the algorithms. Implementations are all based on Java and ImageJ. This concise yet comprehensive, reader-friendly text is ideal for undergraduates studying foundation courses as well as ideal for self-study.

The Image Processing Cookbook

Author: John C. Russ
Publisher: Createspace Independent Publishing Platform
ISBN: 9781545499443
Size: 14.29 MB
Format: PDF, ePub
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This book leads the reader on a guided tour of the practical methods that can reveal the most important information in the digital images used for scientific, forensic and technical purposes, using richly illustrated examples that show the reader the step-by-step procedures for correcting problems in recorded images, enhancing the critical details, isolating objects and structures for measurement, and deriving the quantitative data useful for subsequent analysis. The emphasis in the book is on teaching by example, and providing visual comparisons of the various tools that can be applied, following the typical workflow needed to correct imaging defects, enhance details, isolate objects and structures, and perform measurements. The examples are purposely taken from a wide range of subjects, including various kinds of microscopy, medical imaging, forensic photography, and astronomy.

Purification Of Laboratory Chemicals

Author: W.L.F. Armarego
Publisher: Butterworth-Heinemann
ISBN: 0128054565
Size: 51.95 MB
Format: PDF, Mobi
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Purification of Laboratory Chemicals, Eighth Edition, tabulates methods taken from literature for purifying thousands of individual commercially available chemicals. To help in applying this information, the more common processes currently used for purification in chemical laboratories and new methods are discussed. For dealing with substances not separately listed, a chapter is included setting out the usual methods for purifying specific classes of compounds. Features empirical formulae inserted for every entry References all important applications of each substance Updates and confirms the accuracy of all CAS registry numbers, molecular weights, original reference, and physical data Provides increased coverage of the latest commercial chemical products, including pharmaceutical chemicals, updated safety and hazard material, and expanded coverage of laboratory and work practices and purification methods

Mineral Processing Technology

Author: B. A. Wills
Publisher: Elsevier
ISBN: 1483182428
Size: 59.80 MB
Format: PDF, ePub, Mobi
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Mineral Processing Technology, Third Edition: An Introduction to the Practical Aspects of Ore Treatment and Mineral Recovery details the fundamentals of contemporary ore processing-techniques. The title first introduces the basics of ore-processing, and then proceeds to tackling technical topics in the subsequent chapters. The text covers methods and procedures in ore handling, industrial screening, and ore sorting. The selection also deals with ore-processing equipment, such as crushers and grinding mills. The book will be of great use to students and professionals of disciplines involved in mining industry.

Fundamentals Of Digital Image Processing

Author: Chris Solomon
Publisher: John Wiley & Sons
ISBN: 1119957001
Size: 78.67 MB
Format: PDF, ePub, Docs
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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 www.wiley.com/go/solomon/fundamentals 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.

Mathematics Of Digital Images

Author: S. G. Hoggar
Publisher: Cambridge University Press
ISBN: 9781139451352
Size: 75.40 MB
Format: PDF, Docs
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Compression, restoration and recognition are three of the key components of digital imaging. The mathematics needed to understand and carry out all these components are explained here in a style that is at once rigorous and practical with many worked examples, exercises with solutions, pseudocode, and sample calculations on images. The introduction lists fast tracks to special topics such as Principal Component Analysis, and ways into and through the book, which abounds with illustrations. The first part describes plane geometry and pattern-generating symmetries, along with some on 3D rotation and reflection matrices. Subsequent chapters cover vectors, matrices and probability. These are applied to simulation, Bayesian methods, Shannon's information theory, compression, filtering and tomography. The book will be suited for advanced courses or for self-study. It will appeal to all those working in biomedical imaging and diagnosis, computer graphics, machine vision, remote sensing, image processing and information theory and its applications.