Items related to Principles of Digital Image Processing: Core Algorithms
Synopsis
This easy-to-follow textbook is the third of 3 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 modern implementations of the most important techniques.The reader-friendly text builds on the contents of the previous volumes, presenting additional advanced methods, including those for performing dynamic point operations, non-linear edge-preserving filters and filters for color images, advanced edge detection operators, local feature extraction, curve fitting, etc. This volume continues to provide readers with proven concepts, offering a selection of advanced standard techniques and recent methods that are widely used in research and practical applications.This reader-friendly text will equip undergraduates with a deeper understanding of the topic as well as being valuable for further developing knowledge for self-study.
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Review
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)
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