Digital Image Processing : An Algorithmic Introduction

Wilhelm Burger

ISBN 10: 3031063430 / ISBN 13: 9783031063435

Published by Springer, Springer, 2023

About this Item

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.

Seller Inventory # 9783031063435

Bibliographic Details

• Title: Digital Image Processing : An Algorithmic Introduction
• Publisher: Springer, Springer
• Publication Date: 2023
• Language: English
• ISBN 10: 3031063430
• ISBN 13: 9783031063435
• Binding: Taschenbuch
• Edition: 3rd Edition
• Condition: Neu
• Dimensions: 254W x 178H x 52D millimeters 254 millimeters width by 178 millimeters height by 52 millimeters depth
• Weight: 1786 grams

About this title

Synopsis

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 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.

About the Author

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.