Computational Colour Science Using MATLAB
Computational Colour Science Using MATLAB

Author: Stephen Westland

Publisher: John Wiley & Sons

Published: 2012-06-29

Total Pages: 311

ISBN-13: 1118337042

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Computational Colour Science Using MATLAB 2nd Edition offers a practical, problem-based approach to colour physics. The book focuses on the key issues encountered in modern colour engineering, including efficient representation of colour information, Fourier analysis of reflectance spectra and advanced colorimetric computation. Emphasis is placed on the practical applications rather than the techniques themselves, with material structured around key topics. These topics include colour calibration of visual displays, computer recipe prediction and models for colour-appearance prediction. Each topic is carefully introduced at three levels to aid student understanding. First, theoretical ideas and background information are discussed, then explanations of mathematical solutions follow and finally practical solutions are presented using MATLAB. The content includes: A compendium of equations and numerical data required by the modern colour and imaging scientist. Numerous examples of solutions and algorithms for a wide-range of computational problems in colour science. Example scripts using the MATLAB programming language. This 2nd edition contains substantial new and revised material, including three innovative chapters on colour imaging, psychophysical methods, and physiological colour spaces; the MATLAB toolbox has been extended with a professional, optimized, toolbox to go alongside the current teaching toolbox; and a java toolbox has been added which will interest users who are writing web applications and/or applets or mobile phone applications. Computational Colour Science Using MATLAB 2nd Edition is an invaluable resource for students taking courses in colour science, colour chemistry and colour physics as well as technicians and researchers working in the area. In addition, it acts a useful reference for professionals and researchers working in colour dependent industries such as textiles, paints, print & electronic imaging. Review from First Edition: “...highly recommended as a concise introduction to the practicalities of colour science...” (Color Technology, 2004)

Computational Colour Science using MATLAB
Computational Colour Science using MATLAB

Author: Professor Stephen Westland

Publisher: John Wiley & Sons

Published: 2004-04-30

Total Pages: 224

ISBN-13: 9780470845622

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Presenting a practical, problem-based approach to colour physics, this title describes the key issues encountered in modern colour engineering, including efficient representation of colour information, fourier analysis of reflectance spectra and advanced colorimetric computation. Emphasis is placed on the practical applications rather than the techniques themselves, with material structured around key topics, such as colour calibration of visual displays, computer recipe prediction and models for colour-appearance prediction. Each topic is carefully introduced at three levels to enhance student understanding. Firstly, theoretical ideas and background information are discussed, explanations of mathematical solutions then follow and finally practical solutions are presented using MATLAB. Includes a compendium of equations and numerical data required by the modern colour and imaging scientist. Numerous examples of solutions and algorithms for a wide-range of computational problems in colour science. Provides example scripts using the MATLAB programming language. This text is a must-have for students taking courses in colour science, colour chemistry and colour physics as well as technicians and researchers working in the area.

Computational Colour Science Using MATLAB
Computational Colour Science Using MATLAB

Author: Stephen Westland

Publisher: John Wiley & Sons

Published: 2004-06-25

Total Pages: 221

ISBN-13: 0470020318

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Presenting a practical, problem-based approach to colour physics, this title describes the key issues encountered in modern colour engineering, including efficient representation of colour information, fourier analysis of reflectance spectra and advanced colorimetric computation. Emphasis is placed on the practical applications rather than the techniques themselves, with material structured around key topics, such as colour calibration of visual displays, computer recipe prediction and models for colour-appearance prediction. Each topic is carefully introduced at three levels to enhance student understanding. Firstly, theoretical ideas and background information are discussed, explanations of mathematical solutions then follow and finally practical solutions are presented using MATLAB. Includes a compendium of equations and numerical data required by the modern colour and imaging scientist. Numerous examples of solutions and algorithms for a wide-range of computational problems in colour science. Provides example scripts using the MATLAB programming language. This text is a must-have for students taking courses in colour science, colour chemistry and colour physics as well as technicians and researchers working in the area.

Pattern Recognition and Computational Intelligence Techniques Using Matlab
Pattern Recognition and Computational Intelligence Techniques Using Matlab

Author: E. S. Gopi

Publisher: Springer Nature

Published: 2019-10-17

Total Pages: 263

ISBN-13: 303022273X

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This book presents the complex topic of using computational intelligence for pattern recognition in a straightforward and applicable way, using Matlab to illustrate topics and concepts. The author covers computational intelligence tools like particle swarm optimization, bacterial foraging, simulated annealing, genetic algorithm, and artificial neural networks. The Matlab based illustrations along with the code are given for every topic. Readers get a quick basic understanding of various pattern recognition techniques using only the required depth in math. The Matlab program and algorithm are given along with the running text, providing clarity and usefulness of the various techniques. Presents pattern recognition and the computational intelligence using Matlab; Includes mixtures of theory, math, and algorithms, letting readers understand the concepts quickly; Outlines an array of classifiers, various regression models, statistical tests and the techniques for pattern recognition using computational intelligence.

Applications of MATLAB in Science and Engineering
Applications of MATLAB in Science and Engineering

Author: Tadeusz Michalowski

Publisher: BoD – Books on Demand

Published: 2011-09-09

Total Pages: 526

ISBN-13: 9533077085

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The book consists of 24 chapters illustrating a wide range of areas where MATLAB tools are applied. These areas include mathematics, physics, chemistry and chemical engineering, mechanical engineering, biological (molecular biology) and medical sciences, communication and control systems, digital signal, image and video processing, system modeling and simulation. Many interesting problems have been included throughout the book, and its contents will be beneficial for students and professionals in wide areas of interest.

Practical Image and Video Processing Using MATLAB
Practical Image and Video Processing Using MATLAB

Author: Oge Marques

Publisher: John Wiley & Sons

Published: 2011-08-04

Total Pages: 704

ISBN-13: 111809347X

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UP-TO-DATE, TECHNICALLY ACCURATE COVERAGE OF ESSENTIAL TOPICS IN IMAGE AND VIDEO PROCESSING This is the first book to combine image and video processing with a practical MATLAB®-oriented approach in order to demonstrate the most important image and video techniques and algorithms. Utilizing minimal math, the contents are presented in a clear, objective manner, emphasizing and encouraging experimentation. The book has been organized into two parts. Part I: Image Processing begins with an overview of the field, then introduces the fundamental concepts, notation, and terminology associated with image representation and basic image processing operations. Next, it discusses MATLAB® and its Image Processing Toolbox with the start of a series of chapters with hands-on activities and step-by-step tutorials. These chapters cover image acquisition and digitization; arithmetic, logic, and geometric operations; point-based, histogram-based, and neighborhood-based image enhancement techniques; the Fourier Transform and relevant frequency-domain image filtering techniques; image restoration; mathematical morphology; edge detection techniques; image segmentation; image compression and coding; and feature extraction and representation. Part II: Video Processing presents the main concepts and terminology associated with analog video signals and systems, as well as digital video formats and standards. It then describes the technically involved problem of standards conversion, discusses motion estimation and compensation techniques, shows how video sequences can be filtered, and concludes with an example of a solution to object detection and tracking in video sequences using MATLAB®. Extra features of this book include: More than 30 MATLAB® tutorials, which consist of step-by-step guides toexploring image and video processing techniques using MATLAB® Chapters supported by figures, examples, illustrative problems, and exercises Useful websites and an extensive list of bibliographical references This accessible text is ideal for upper-level undergraduate and graduate students in digital image and video processing courses, as well as for engineers, researchers, software developers, practitioners, and anyone who wishes to learn about these increasingly popular topics on their own.

Scientific Computing - An Introduction using Maple and MATLAB
Scientific Computing - An Introduction using Maple and MATLAB

Author: Walter Gander

Publisher: Springer Science & Business

Published: 2014-04-23

Total Pages: 926

ISBN-13: 3319043250

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Scientific computing is the study of how to use computers effectively to solve problems that arise from the mathematical modeling of phenomena in science and engineering. It is based on mathematics, numerical and symbolic/algebraic computations and visualization. This book serves as an introduction to both the theory and practice of scientific computing, with each chapter presenting the basic algorithms that serve as the workhorses of many scientific codes; we explain both the theory behind these algorithms and how they must be implemented in order to work reliably in finite-precision arithmetic. The book includes many programs written in Matlab and Maple – Maple is often used to derive numerical algorithms, whereas Matlab is used to implement them. The theory is developed in such a way that students can learn by themselves as they work through the text. Each chapter contains numerous examples and problems to help readers understand the material “hands-on”.

Total Colour Management in Textiles
Total Colour Management in Textiles

Author: John H Xin

Publisher: Woodhead Publishing

Published: 2006-01-31

Total Pages: 249

ISBN-13: 1845691083

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Managing colour from the design stage to the finished product can be a difficult activity as colour perception is subjective and can therefore be inconsistent. Total colour management in textiles covers all aspects of managing colour from the design stage to the final product, ensuring that the designer's vision is fulfilled in the finished colour. There have been many new developments in the area of colour measurement and colour perception which are discussed. These include discussion of the sensory effect of colour for design and use in product development, and digital colour simulation. - Concentrates on managing colour from the design stage to the finished product - Provides a comprehensive discussion on the many aspects of textile colour management - Written with an industrial applications viewpoint

Colour Design
Colour Design

Author: Janet Best

Publisher: Woodhead Publishing

Published: 2017-06-08

Total Pages: 706

ISBN-13: 0081018894

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Colour Design: Theories and Applications, Second Edition, provides information on a broad spectrum of colour subjects written by seasoned industry professionals and academics. It is a multidisciplinary book that addresses the use of colour across a range of industries, with a particular focus on textile colouration. Part One deals with the human visual system, colour perception and colour psychology, while Part Two focuses on the practical application of colour in design, including specifically in textiles and fashion. Part Three covers cultural and historical aspects of colour, as well as recent developments, addressing areas such as dyes and pigments, architecture, colour theory, virtual reality games, colour printing, website development, and sustainability. This revised, expanded, and updated edition reflects recent technological developments, and new industry priorities. Bringing together the science of colouration and the more artistic elements of design, this book supports students, academics, and industry professionals in developing a deep knowledge of colour use. It will also be an important reference for those involved in textile dyeing, design and manufacture. - Provides a comprehensive review of the issues surrounding the use of color in textiles - Discusses the application of color across a wide range of industries, supporting interdisciplinary knowledge and research - Offers a revised, expanded, and updated look that reflects the rise of new technology and industry priorities

Mixed Raster Content
Mixed Raster Content

Author: George Pavlidis

Publisher: Springer

Published: 2016-11-01

Total Pages: 379

ISBN-13: 9811028303

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This book presents the main concepts in handling digital images of mixed content, traditionally referenced as mixed raster content (MRC), in two main parts. The first includes introductory chapters covering the scientific and technical background aspects, whereas the second presents a set of research and development approaches to tackle key issues in MRC segmentation, compression and transmission. The book starts with a review of color theory and the mechanism of color vision in humans. In turn, the second chapter reviews data coding and compression methods so as to set the background and demonstrate the complexity involved in dealing with MRC. Chapter three addresses the segmentation of images through an extensive literature review, which highlights the various approaches used to tackle MRC segmentation. The second part of the book focuses on the segmentation of color images for optimized compression, including multi-layered decomposition and representation of MRC and the processes that can be employed to optimize the coding rates of those different layers. Rounding out the coverage, the final chapter examines the segmentation of color images for optimized transmission.