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Burger W., Burge M.J. Principles of Digital Image Processing. Fundamental Techniques

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Burger W., Burge M.J. Principles of Digital Image Processing. Fundamental Techniques
Издательство Springer, 2009, -272 pp.
Серия Undergraduate Topics in Computer Science (учебники для студентов)
Обновленное издание первой части книги тех же авторов Digital Image Processing: An Algorithmic Approach Using Java
This book 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. This updated and enhanced paperback edition of our comprehensive textbook Digital Image Processing: An Algorithmic Approach Using Java packages the original material into a series of compact volumes, thereby supporting a flexible sequence of courses in digital image processing. Tailoring the contents to the scope of individual semester courses is also an attempt to provide affordable (and backpack-compatible) textbooks without comprimising the quality and depth of content.
One approach to learning a new language is to become conversant in the core vocabulary and to start using it right away. At first, you may only know how to ask for directions, order coffee, and so on, but once you become confident with the core, you will start engaging others in conversations and rapidly learn how to get things done. This step-by-step approach works equally well in many areas of science and engineering.
In this first volume, ostentatiously titled Fundamental Techniques, we have attempted to compile the core vocabulary 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 and algorithms will enable you to start being productive right away.
The second volume of this series (Core Algorithms) extends the presented material, being devoted to slightly more advanced techniques and algorithms that are, nevertheless, part of the standard image processing toolbox. A forthcoming third volume (Advanced Techniques) will extend this series and add important material beyond the elementary level for an advanced undergraduate or even graduate course.
Digital Images
ImageJ
Histograms
Point Operations
Filters
Edges and Contours
Morphological Filters
Color Images
Mathematical Notation
Java Notes
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