Verwandte Artikel zu Digital Image Processing: An Algorithmic Introduction
Inhaltsangabe
This modern, self-contained textbook provides an accessible introduction to the field from the perspective of a practicing programmer, supporting a detailed presentation of the fundamental concepts and techniques with practical exercises and fully worked out implementation examples. This much-anticipated 3rd edition of the definitive textbook on Digital Image Processing has been completely revised and expanded with new content, improved illustrations and teaching material.
Topics and features:
- Contains new chapters on fitting of geometric primitives, randomized feature detection (RANSAC), and maximally stable extremal regions (MSER).
- Includes exercises for most chapters and provides additional supplementary
- materials and software implementations at an associated website.
- Uses ImageJ for all examples, a widely used open source imaging environment that
- can run on all major platforms.
- Describes each solution in a stepwise manner in mathematical form, as abstract pseudocode algorithms, and as complete Java programs that can be easily ported to other programming languages.
- Presents suggested outlines for a one- or two-semester course in the preface.
Advanced undergraduate and graduate students will find this comprehensive and example-rich textbook will serve as the ideal introduction to digital image processing. It will also prove invaluable to researchers and professionals seeking a practically focused self-study primer.
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Über die Autorin bzw. den Autor
Dr. Wilhelm Burger is a faculty member of the University of Applied Sciences Upper Austria, Hagenberg, where he serves as Director of the Digital Media degree programs at the School of Informatics, Communications and Media.
Dr. Mark J. Burge is a scientist at the non-profit organization Noblis in Falls Church, VA, USA. His other publications include the Handbook of Iris Recognition.
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This modern, self-contained textbook provides an accessible introduction to the field from the perspective of a practicing programmer, supporting a detailed presentation of the fundamental concepts and techniques with practical exercises and fully worked out implementation examples. This much-anticipated 3rd edition of the definitive textbook on digital image processing has been completely revised and expanded with new content, improved illustrations and teaching material.
Topics and features:
- Contains new chapters on fitting of geometric primitives, randomized feature detection (RANSAC), and maximally stable extremal regions (MSER)
- Includes exercises for most chapters and provides additional supplementary materials and software implementations at an associated website
- Uses ImageJ for all examples, a widely used open source imaging environment that can run on all major platforms
- Describes each solution in a stepwise manner in mathematical form, as abstract pseudocode algorithms, and as complete Java programs that can be easily ported to other programming languages
- Presents suggested outlines for a one- or two-semester course in the preface
Advanced undergraduate and graduate students will find this comprehensive and example-rich textbook will serve as the ideal introduction to digital image processing. It will also prove invaluable to researchers and professionals seeking a practically focused self-study primer.
Dr. Wilhelm Burger is an emeritus of the University of Applied Sciences Upper Austria at
Hagenberg, where he served as Head of the Digital Media degree programs at the School of
Informatics, Communications and Media.
Dr. Mark J. Burge is the Senior Advisor for Artificial Intelligence at the Federal Bureau of
Investigation, Washington, DC, USA. His other publications include the Handbook of Iris
Recognition.
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This modern, self-contained textbook provides an accessible introduction to the field fromthe perspective of a practicing programmer, supporting a detailed presentation of thefundamental concepts and techniques with practical exercises and fully worked outimplementation examples. This much-anticipated 3rd edition of the definitive textbook onDigital Image Processing has been completely revised and expanded with new content,improved illustrations and teaching material.Topics and features:Contains new chapters on fitting of geometric primitives, randomized featuredetection (RANSAC), and maximally stable extremal regions (MSER).Includes exercises for most chapters and provides additional supplementarymaterials and software implementations at an associated website.Uses ImageJ for all examples, a widely used open source imaging environment thatcan run on allmajor platforms.Describes each solution in a stepwise manner in mathematical form, as abstractpseudocode algorithms, and as complete Java programs that can be easily ported toother programming languages.Presents suggested outlines for a one- or two-semester course in the preface.Advanced undergraduate and graduate students will find this comprehensive and example-rich textbook will serve as the ideal introduction to digital image processing. It will also proveinvaluable to researchers and professionals seeking a practically focused self-study primer. Artikel-Nr. 9783031063435
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Digital Image Processing: An Algorithmic Introduction
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