digital image processing algorithmic von burge mark (7 Ergebnisse)

hardcover. Zustand: Very Good. Cover and edges may have some wear.

Hardback. Zustand: Good. The book has been read but remains in clean condition. All pages are intact and the cover is intact. Some minor wear to the spine.

Paperback. Zustand: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.

Zustand: New. In.

Zustand: Gut. Zustand: Gut - Gebrauchs- und Lagerspuren. Innen: Notizen / Markierungen. | Seiten: 564 | Sprache: Englisch | Produktart: Bücher.

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.

Buch. 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.