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.
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From the reviews: "This slim volume is the first of a three-volume set. … the book’s overall coverage is sound--well written, with plenty of illustrative examples and elegant diagrams. … this book is a fine introduction to image processing, and some topics--color, in particular--are very well done indeed. … In summary, this is mostly a fine text. … with the addition of more exercises, this would be an excellent introduction to the field." (Alasdair McAndrew, ACM Computing Reviews, August, 2009)
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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 concrete implementations of the most important techniques. The text 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. Mastering these most commonly used techniques will enable the reader to start being productive straight away. Features and topics: 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 Uses ImageJ, the image processing system developed, maintained, and freely distributed by the U.S. National Institutes of Health (NIH) Provides a supplementary website with the complete Java source code, test images, and corrections – www.imagingbook.com Additional presentation tools for instructors including a complete set of figures, tables, and mathematical elements This concise, yet comprehensive and reader-friendly text is ideal for undergraduates studying foundation courses, as well as ideal for those seeking to expand their knowledge via self-study. Wilhelm Burger, Ph.D., is the director of the Digital Media degree programs at the Upper Austria University of Applied Sciences at Hagenberg. Mark J. Burge, Ph.D., is a senior principal in the Center for National Security and Intelligence at Noblis in Washington, D.C.
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