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Digital Image Processing: An Algorithmic Introduction using Java |
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Категория: Компьютерная литература » Языки программирования » Java, JavaScript, Ajax |
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Автор: Wilhelm Burger, Mark James Burge
Издательство: Springer
Год издания: 2007
isbn: 1846283795
Количество страниц: 566
Язык: english
Формат: DJVU
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"This will be one of my continuing reference books for some time to come."
Steve Cunningham, PhD, Past President of SIGGRAPH
"An excellent resource for the users of ImageJ."
Wayne Rasband, author of ImageJ
This modern, self-contained, textbook explains the fundamental algorithms of digital image processing through practical examples and complete Java implementations. Available for the first time in English, Digital Image Processing is the definitive textbook for students, researchers, and professionals in search of critical analysis and modern implementations of the most important algorithms in the field.
• 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
• Self-contained chapters and additional online material suitable for a flexible one- or two- semester course
• Uses ImageJ, the image processing system developed, maintained, and freely distributed by the U.S. National Institutes of Health (NIH)
• A comprehensive Website (www.imagingbook.com) with complete Java source code, test images, and additional instructor materials
This comprehensive, reader-friendly introduction is ideal for foundation courses as well as eminently suitable for self-study.
Wilhelm Burger is the director of the Digital Media degree programs at the Upper Austria University of Applied Sciences at Hagenberg.
Mark J. Burge is a program director at the National Science Foundation (NSF) and a principal at Noblis (Mitretek) in Washington, D.C. |
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A Practical Guide to Data Structures and Algorithms using Java |
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Категория: Компьютерная литература » Языки программирования » Java, JavaScript, Ajax |
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Автор: Sally A. Goldman, Kenneth J. Goldman
Издательство: Chapman and Hall/CRC
Год издания: 2007
isbn: 978-1-8488-455-2
Количество страниц: 990
Язык: english
Формат: PDF
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Although traditional texts present isolated algorithms and data structures, they do not provide a unifying structure and offer little guidance on how to appropriately select among them. Furthermore, these texts furnish little, if any, source code and leave many of the more difficult aspects of the implementation as exercises. A fresh alternative to conventional data structures and algorithms books, A Practical Guide to Data Structures and Algorithms using Java presents comprehensive coverage of fundamental data structures and algorithms in a unifying framework with full implementation details. Recognizing that software development is a top-down process, this applications-centered book provides careful guidance to students and practitioners.
Complete and thoroughly integrated Java implementations expose key differences among a wide range of important data structures, including many useful abstract data types not provided in standard Java libraries. Fundamental algorithms appear within the context of their supporting data structures. Case studies, examples, decision trees, and comparison charts throughout the stylized presentation illustrate and support an efficient methodology for the careful selection and application of data structures and algorithms. Appendices summarize major features of the Java programming language, introduce asymptotic notation and complexity analysis, and discuss design patterns applied in the book.
A true marriage of theory and practice, this book sets a new standard as a comprehensive practical guide to data structures and algorithms. Practitioners and students will reach for this book often to quickly identify the best data structure or algorithm for their applications. |
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WiMAX/MobileFi: Advanced Research and Technology |
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Категория: Телекоммуникационные технологии, Компьютерные сети, Протоколы |
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Автор: Yang Xiao
Издательство: Auerbach Publications
Год издания: 2007
isbn: 978-1420043518
Количество страниц: 448
Язык: english
Формат: PDF
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WiMAX/MobileFi: Advanced Research and Technology brings together the world’s leading WiMAX researchers to present progressive techniques in the design, analysis, and optimization of protocols for WiMAX. This ground-breaking, previously unpublished, collection of papers addresses topics such as connection admission control, integration with WiFi Networks, QoS support, handoff management, scheduling algorithms, and load-balancing just to name a few.
Written under the leadership of editor Yang Xiao, member of the IEEE 802.11 working group, WiMAX/MobileFi: Advanced Research and Technology represents the most cutting-edge survey of WiMAX technologies. It provides a foundation to support currently emerging applications as well as fuel the development of future innovations. |
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An Introduction to Pattern Recognition: A MATLAB Approach |
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Категория: Прочие языки программирования, Программное обеспечение |
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Автор: Sergios Theodoridis, Konstantinos Koutroumbas, Aggelos Pikrakis
Издательство: Academic Press
Год издания: 2009
isbn: 978-0123744869
Количество страниц: 240
Язык: english
Формат: PDF
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An accompanying manual to Theodoridis/Koutroumbas, Pattern Recognition, that includes Matlab code of the most common methods and algorithms in the book, together with a descriptive summary and solved examples, and including real-life data sets in imaging and audio recognition.
*Matlab code and descriptive summary of the most common methods and algorithms in Theodoridis/Koutroumbas, Pattern Recognition 4e.
*Solved examples in Matlab, including real-life data sets in imaging and audio recognition |
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