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.
Author: Maria Petrou, Costas Petrou
Publisher: John Wiley & Sons
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
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.
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.
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
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, 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, 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.
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.
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.
Author: J A Brydson
Plastics Materials, Fifth Edition, reviews developments of plastics materials. The 1980s saw the introduction of many new materials, some of which were highly specialized in their function, particularly in the field of electronics. The book attempts to take such developments into account. It also highlights the commercial importance of materials discussed and includes representative production or consumption statistics. The book begins by tracing the historical development of plastics materials. This is followed by separate chapters on the production of polymers via addition polymerization, condensation polymerization, and rearrangement polymerization; physical states of aggregation of polymers; factors affecting the thermal and mechanical properties of polymers; the relation of structure to the chemical, electrical, and optical properties of plastics; plastics additives; and principles of plastics processing. Subsequent chapters focus on the properties of individual plastics materials. These include polyethylene, polypropylene, vinyl chloride polymers, poly(vinyl acetate), acrylic plastics, polystyrene, vinyl thermoplastics, polyamides and polyimides, polyacetals and related materials, and polycarbonates.
Author: Michael W. Eysenck, Mark T. Keane
Publisher: Psychology Press
Rigorously researched and accessibly written, Cognitive Psychology: A Student’s Handbook is widely regarded as the leading undergraduate textbook in the field. The book is clearly organised, and offers comprehensive coverage of all the key areas of cognitive psychology. With a strong focus on considering human cognition in context, the book has been designed to help students develop a thorough understanding of the fundamentals of cognitive psychology, providing them with detailed knowledge of the very latest advances in the field. New to this edition: Thoroughly revised throughout to include the latest research and developments in the field Extended coverage of cognitive neuroscience Additional content on computational cognitive science New and updated case studies demonstrating real life applications of cognitive psychology Fully updated companion website Cognitive Psychology: A Student’s Handbook will be essential reading for all undergraduate students of psychology. Those taking courses in computer science, education, linguistics, physiology, and medicine will also find it an invaluable resource.
Remote Sensing and Image Interpretation, 7th Edition is designed to be primarily used in two ways: as a textbook in the introductory courses in remote sensing and image interpretation, and as a reference for the burgeoning number of practitioners who use geospatial information and analysis in their work. Because of the wide range of academic and professional settings in which this book might be used, we have made the discussion “discipline neutral.” In short, anyone involved in geospatial data acquisition and analysis should find this book to be a valuable text and reference.
The field of medical imaging seen rapid development over the last two decades and has consequently revolutionized the way in which modern medicine is practiced. Diseases and their symptoms are constantly changing therefore continuous updating is necessary for the data to be relevant. Diseases fall into different categories, even a small difference in symptoms may result in categorising it in a different group altogether. Thus analysing data accurately is of critical importance. This book concentrates on diagnosing diseases like cancer or tumor from different modalities of images. This book is divided into the following domains: Importance of big data in medical imaging, pre-processing, image registration, feature extraction, classification and retrieval. It is further supplemented by the medical analyst for a continuous treatment process. The book provides an automated system that could retrieve images based on user’s interest to a point of providing decision support. It will help medical analysts to take informed decisions before planning treatment and surgery. It will also be useful to researchers who are working in problems involved in medical imaging.
The Handbook of Clinical Psychopharmacology for Therapists is the go-to resource for mental health clinicians looking for clear, reliable information about the treatment of mental health issues. Organized by disorder and, within each disorder, by medication, this book is designed to familiarize clinicians and students with the basic terminology and models of pharmacokinetics. This fully revised and updated eighth edition provides essential information on new medications and treatment options and includes the latest research on side effects, contraindications, and efficacy of all major medications prescribed for mental health disorders. The book also features an important new chapter on the effects of withdrawing from psychopharmacological medications. This handbook makes it simple to: get the facts about drug interactions and side effects; find out how medications affect adults, children, and adolescents differently; learn how different cultures view medical treatment, vital information for anyone who treats clients from a variety of backgrounds; and discontinue medication safely when needed. This essential guide to psychopharmacology has been adopted as a textbook at universities nationwide and is an important resource for every therapist’s library.