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- Publisher
- Springer London
- Copyright
- Copyright © Springer Basel AG
- DOI
- 10.1007/978-1-84628-968-2
- Publisher site
- See Book on Publisher Site
Abstract
Written as an introduction for undergraduate students, this textbook covers the most important methods in digital image processing. Formal and mathematical aspects are discussed at a fundamental level and various practical examples and exercises supplement the text. The book uses the image processing environment ImageJ, freely distributed by the National Institute of Health. A comprehensive website supports the book, and contains full source code for all examples in the book, a question and answer forum, slides for instructors, etc. Digital Image Processing in Java is the definitive textbook for computer science students studying image processing and digital processing. ; This textbook covers the most important methods in digital image processing. Formal and mathematical aspects are discussed at a fundamental level and various practical examples and exercises supplement the text. ; This book provides a modern, self-contained introduction to digital - age processing. We designed the book to be used both by learners - siring a ?rm foundation on which to build and practitioners in search of critical analysis and modern implementations of the most important techniques. This is the ?rst English edition of the original Germ- language book, which has been widely used by: • Scientists, and engineers who use image processing as a tool and wish to develop a deeper understanding and create custom solutions to imaging problems in their ?eld. • Informationtechnology(IT)professionalswantingaself-studycourse featuring easily adaptable code andcompletely workedoutexamples enabling them to be productive right away. • Facultyandstudentsdesiringanexample-richintroductorytextbook suitable foranadvancedundergraduateorgraduatelevelcoursethat featuresexercises, projects, andexamples that havebeen honed d- ing our years of experience teaching this material. While we concentrate on practical applications and concrete implem- tations, we do so without glossing over the important formal details and mathematics necessary for a deeper understanding of the algorithms. In preparing this text, we started from the premise that simply creating a recipe book of imaging solutions would not provide the deeper und- standing needed to apply these techniques to novel problems, so instead our solutions are developed stepwise from three di?erent perspectives: in mathematical form, as abstract pseudocode algorithms, and as c- plete Java programs. We use a common notation to intertwine all three perspectives—providing multiple, but linked, views of the problem and its solution.; Crunching Pixels.- Digital Images.- ImageJ.- Histograms.- Point Operations.- Filters.- Edges and Contours.- Corner Detection.- Detecting Simple Curves.- Morphological Filters.- Regions in Binary Images.- Color Images.- to Spectral Techniques.- The Discrete Fourier Transform in 2D.- The Discrete Cosine Transform (DCT).- Geometric Operations.- Comparing Images.; From the reviews: a welcome resource. The algorithm discussions do not depend on any toolkit, allowing ready translations to other environments, as I have found with OpenGL shaders. Useful either as a reference or as a textbook ... a very accessible textbook in image processing, quite suitable for undergraduate courses Starts with very fundamental concepts of digital images and goes through quite sophisticated algorithms with sound mathematical basis ... providing a deeper understanding of the algorithms. This will be one my continuing reference books for some time to come. Steve Cunningham, PhD Past SIGGRAPH President and Chair An excellent resource, I highly recommend. Wayne Rasband, Author of ImageJ, U.S. National Institutes of Health (NIH) "This modern, self-contained, textbook explains the fundamental algorithms of digital image processing through practical examples and complete Java implementations. Available for the first time in English, Digital Image Processing is the definitive textbook for students, researchers, and professionals in search of critical analysis and modern implementations of the most important algorithms in the field. … Self-contained chapters and additional online material suitable for a flexible one- or two semester course." (www.amazon.com, December 2007) "This book teaches the basic algorithms used in image processing and implements many of these algorithms in ImageJ. … The book succeeds at showing the mathematics of each transform, of showing pseudocode for each algorithm, and implementing various algorithms in complete code. Each chapter has exercises for the student, and I found the textbook to be well illustrated and well written." (www.amazon.com, December 2007) "This book is an introduction to image processing and analysis in the deeper sense, covering the structure of digital images … and the basic algorithms involved in image processing. It is intended for advanced undergraduates and graduate students, as well as computer professionals. … The text is accompanied by a number of images … as well as clear and well-designed diagrams where appropriate. Good exercises for each chapter are given." (Jeffrey Putnam, Computing Reviews, March, 2009) ; "This will be one of my continuing reference books for some time to come." Steve Cunningham, PhD, Past President of SIGGRAPH "An excellent resource for the users of ImageJ." Wayne Rasband, author of ImageJ This modern, self-contained, textbook explains the fundamental algorithms of digital image processing through practical examples and complete Java implementations. Available for the first time in English, Digital Image Processing is the definitive textbook for students, researchers, and professionals in search of critical analysis and modern implementations of the most important algorithms in the field. • Practical examples and carefully constructed chapter-ending exercises drawn from the authors' years of experience teaching this material • Real implementations, concise mathematical notation, and precise algorithmic descriptions designed for programmers and practitioners • Easily adaptable Java code and completely worked out examples for easy inclusion in existing, and rapid prototyping of new, applications • Self-contained chapters and additional online material suitable for a flexible one- or two- semester course • Uses ImageJ, the image processing system developed, maintained, and freely distributed by the U.S. National Institutes of Health (NIH) • A comprehensive Website (www.imagingbook.com) with complete Java source code, test images, and additional instructor materials This comprehensive, reader-friendly introduction is ideal for foundation courses as well as eminently suitable for self-study. Wilhelm Burger is the director of the Digital Media degree programs at the Upper Austria University of Applied Sciences at Hagenberg. Mark J. Burge is a program director at the National Science Foundation (NSF) and a principal at Noblis (Mitretek) in Washington, D.C. ; Compact introduction to the methods of the digital image processing Covers the most important procedures Formal and mathematical aspects are discussed at a fundamental level Practical examples and exercises throughout A comprehensive website supports the book, and contains full source code for all examples in the book, a question and answer forum, slide sets for instructors, images, reviews and errata ; This is a hugely informative and highly practical book on a subject that is extremely relevant in today’s world, where more and more households own and take pictures on digital cameras. Written as an introduction for undergraduate students, this textbook covers the most important methods in digital image processing. Formal and mathematical aspects are discussed at a fundamental level and various practical examples and exercises supplement the text. The book uses the image processing environment ImageJ, freely distributed by the National Institute of Health. A comprehensive website supports the book, and contains full source code for all examples in the book, a question and answer forum, slides for instructors, etc. Digital Image Processing in Java is the definitive textbook for computer science students studying image processing and digital processing. In all, it is a compact introduction to the methods of the digital image processing. ; DE
Published: Nov 14, 2009