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ISBN 10: 3031063430 ISBN 13: 9783031063435
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Aggiungi al carrelloPaperback. Condizione: New. Third Edition 2022. 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 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 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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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Digital Image Processing | An Algorithmic Introduction | Wilhelm Burger (u. a.) | Taschenbuch | xxv | Englisch | 2023 | Springer | EAN 9783031063435 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Aggiungi al carrelloTaschenbuch. Condizione: 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.
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Aggiungi al carrelloPaperback. Condizione: New. Brand New! Fast Delivery "International Edition " and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 4-6 Working days .and we do have flat rate for up to 2LB. Extra shipping charges will be requested This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.
Lingua: Inglese
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ISBN 10: 3031063430 ISBN 13: 9783031063435
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Aggiungi al carrelloPaperback. Condizione: New. Third Edition 2022. 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 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 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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Aggiungi al carrelloPaperback. Condizione: Brand New. 3rd edition. 970 pages. 10.00x7.01x1.91 inches. In Stock.
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Editore: Springer, Springer Jul 2023, 2023
ISBN 10: 3031063430 ISBN 13: 9783031063435
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 972 pp. Englisch.
Lingua: Inglese
Editore: Springer, Springer Jul 2023, 2023
ISBN 10: 3031063430 ISBN 13: 9783031063435
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -1. Digital Images.- 2. ImageJ.- 3. Histograms and Image Statistics.- 4. Point Operations.- 5. Filters.- 6. Edges and Contours.- 7. Corner Detection.- 8. Finding Simple Curves.- 9. Morphological Filters.- 10. Regions in Binary Images.- 11. Automatic Thresholding.- 12. Color Images.- 13. Color Quantization.- 14. Colorimetric Color Spaces.- 15. Filters for Color Images.- 16. Edge Detection in Color Images.- 17. Edge-Preserving Smoothing Filters.- 18. Introduction to Spectral Techniques.- 19. The Discrete Fourier Transform in 2D.- 20. Geometric Operations.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 972 pp. Englisch.