This is the second volume of a book series that provides a modern, algori- mic introduction to digital image processing. It is designed to be used both by learners desiring a ?rm foundation on which to build and practitioners in search of critical analysis and modern implementations of the most important techniques. This updated and enhanced paperback edition of our compreh- sive textbook Digital Image Processing: An Algorithmic Approach Using Java packages the original material into a series of compact volumes, thereby s- porting a ?exible sequence of courses in digital image processing. Tailoring the contents to the scope of individual semester courses is also an attempt to p- vide a?ordable (and "backpack-compatible") textbooks without comprimising the quality and depth of content. This second volume, titled Core Algorithms, extends the introductory - terial presented in the ?rst volume (Fundamental Techniques) with additional techniques that are, nevertheless, part of the standard image processing to- box. A forthcomingthird volume(Advanced Techniques) will extendthis series and add important material beyond the elementary level, suitable for an - vanced undergraduate or even graduate course.
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.
Show moreThis is the second volume of a book series that provides a modern, algori- mic introduction to digital image processing. It is designed to be used both by learners desiring a ?rm foundation on which to build and practitioners in search of critical analysis and modern implementations of the most important techniques. This updated and enhanced paperback edition of our compreh- sive textbook Digital Image Processing: An Algorithmic Approach Using Java packages the original material into a series of compact volumes, thereby s- porting a ?exible sequence of courses in digital image processing. Tailoring the contents to the scope of individual semester courses is also an attempt to p- vide a?ordable (and "backpack-compatible") textbooks without comprimising the quality and depth of content. This second volume, titled Core Algorithms, extends the introductory - terial presented in the ?rst volume (Fundamental Techniques) with additional techniques that are, nevertheless, part of the standard image processing to- box. A forthcomingthird volume(Advanced Techniques) will extendthis series and add important material beyond the elementary level, suitable for an - vanced undergraduate or even graduate course.
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.
Show moreRegions 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.
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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