Principles of Digital Image Processing: Core Algorithms: Undergraduate Topics in Computer Science
Autor Wilhelm Burger, Mark J. Burgeen Limba Engleză Paperback – 2 apr 2009
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Specificații
ISBN-13: 9781848001947
ISBN-10: 1848001940
Pagini: 329
Ilustrații: XII, 332 p. With online files/update.
Dimensiuni: 178 x 235 x 15 mm
Greutate: 0.66 kg
Ediția:2009
Editura: SPRINGER LONDON
Colecția Springer
Seria Undergraduate Topics in Computer Science
Locul publicării:London, United Kingdom
ISBN-10: 1848001940
Pagini: 329
Ilustrații: XII, 332 p. With online files/update.
Dimensiuni: 178 x 235 x 15 mm
Greutate: 0.66 kg
Ediția:2009
Editura: SPRINGER LONDON
Colecția Springer
Seria Undergraduate Topics in Computer Science
Locul publicării:London, United Kingdom
Public țintă
Lower undergraduateCuprins
Regions in Binary Images.- Detecting Simple Curves.- Corner Detection.- Color Quantization.- Colorimetric Color Spaces.- to Spectral Techniques.- The Discrete Fourier Transform in 2D.- The Discrete Cosine Transform DCT.- Geometric Operations.- Comparing Images.
Recenzii
From the reviews:
"This text is the second of three volumes by Burger and Burge to provide an algorithmic introduction to digital image processing. … This textbook is for academicians who want a mathematical or theoretical foundation that underlies the methods used, as well as for engineers who are interested in practical implementations of the most important algorithms. The volume is a very nice extension to the material and a worthwhile read." (Minette Carl, ACM Computing Reviews, August, 2009)
“This is the second textbook from authors three-book series for graduate and post-graduate courses covering digital image processing techniques; earlier the material appeared in one comprehensive volume Digital Image Processing: An Algorithmic Introduction using Java. This volume covers regions in binary images, curve and corner detecting, color spaces and quantization, transformations … and comparing/matching of images. The presentation is very algorithmic and expects hands-on experimentation with presented notions and algorithms, every chapter ends with exercises … .” (Jaak Henno, Zentralblatt MATH, Vol. 1185, 2010)
"This text is the second of three volumes by Burger and Burge to provide an algorithmic introduction to digital image processing. … This textbook is for academicians who want a mathematical or theoretical foundation that underlies the methods used, as well as for engineers who are interested in practical implementations of the most important algorithms. The volume is a very nice extension to the material and a worthwhile read." (Minette Carl, ACM Computing Reviews, August, 2009)
“This is the second textbook from authors three-book series for graduate and post-graduate courses covering digital image processing techniques; earlier the material appeared in one comprehensive volume Digital Image Processing: An Algorithmic Introduction using Java. This volume covers regions in binary images, curve and corner detecting, color spaces and quantization, transformations … and comparing/matching of images. The presentation is very algorithmic and expects hands-on experimentation with presented notions and algorithms, every chapter ends with exercises … .” (Jaak Henno, Zentralblatt MATH, Vol. 1185, 2010)
Textul de pe ultima copertă
This easy-to-follow textbook is the second of three volumes which provide 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. This volume extends the introductory material presented in the first volume (Fundamental Techniques) with additional techniques that form part of the standard image-processing toolbox.
Features and topics:
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.
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
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.
Caracteristici
Presents a critical selection of algorithms, illustrated explanations and concise mathematical derivations, for readers to gain a deeper understanding of the topic Encourages the reader to actively construct and experiment with the algorithms to develop their knowledge about how to use these methods in the real world Includes supplementary material: sn.pub/extras
Descriere
Descriere de la o altă ediție sau format:
This easy-to-follow textbook provides a modern, algorithmic introduction to digital image processing. It concentrates on practical applications and working implementations whilst also presenting important formal details and the necessary mathematics.
This easy-to-follow textbook provides a modern, algorithmic introduction to digital image processing. It concentrates on practical applications and working implementations whilst also presenting important formal details and the necessary mathematics.