Digital Image Processing: Concepts, Algorithms, and Scientific Applications

Jähne, Bernd:

ISBN 10: 3540592989 / ISBN 13: 9783540592983

Published by Springer, 1995

About this Item

396 p. Very good condition. Minimum traces of storage or use. 9783540592983 Sprache: Englisch Gewicht in Gramm: 816 Softcover: 17.1 x 2.5 x 24.8 cm.

Seller Inventory # 203160

Bibliographic Details

• Title: Digital Image Processing: Concepts, Algorithms, and Scientific Applications
• Publisher: Springer
• Publication Date: 1995
• Language: English
• ISBN 10: 3540592989
• ISBN 13: 9783540592983
• Binding: Soft cover
• Edition: 3rd ed.
• Seller catalogs:
  • Grafik

About this title

Synopsis

From the reviews of the first edition:
"I recommend this book to anyone seriously engaged in image processing. It will clearly stretch the horizon of some readers and be a good reference for others. This is not just another image processing book; it is a book worth owning and a book worth reading several times ..." #J. Electronic Imaging#
This practical guidebook uses the concepts and mathematics familiar to students of the natural sciences to provide them with a working knowledge of modern techniques of digital image processing. It takes readers from basic concepts to current research topics and demonstrates how digital image processing can be used for data gathering in research. Detailed examples of applications on PC-based systems and ready-to-use algorithms enhance the text, as do nearly 200 illustrations (16 in color). The book also includes the most exciting recent advances such as reconstruction of 3-D objects from projections and the analysis of stereo images and image sequences.

From the Back Cover

Since the first edition of "Digital Image Processing" was published in 1991 it has found its way to many desks and classrooms. The book offers an integral view of image processing from physical process of image acquisition to the extraction of the data of interest. This is also revealed in the renewed structure of the seventh edition, dividing the contents in three major parts: Image Acquisition, Image Processing, and Image Analysis. In particular, the Image Acquisition Part is strengthened by a new chapter on Sensors taking into account the technological improvements of recent years. A reference of fundamental mathematics is given in the Appendix.

The book supplements the discussion of the general concepts with examples from applications on PC-based image processing systems and ready-to-use implementations of important algorithms. Each chapter includes exercises that help you to test your understanding, train your skills, and introduce you to real-world image processing tasks. An important part of the exercises is a wealth of interactive computer exercises, which cover all topics of this textbook. These exercises are performed with the image processing software heurisko which is included on the accompanying CD-ROM. In this way you can get own practical experience with almost all topics and algorithms covered by this book.