Practical Handbook on Image Processing for Scientific and Technical Applications

Bernd (University of Heidelberg Jahne

ISBN 10: 0849319005 / ISBN 13: 9780849319006

Published by Taylor & Francis Inc Mär 2004, 2004

About this Item

Neuware - Students, practitioners, and researchers can gain immediate access to a sound, basic knowledge of image processing by referencing general principles in this practical guide that comes complete with hundreds of photos, figures, diagrams, tables, and tips.

Seller Inventory # 9780849319006

Bibliographic Details

• Title: Practical Handbook on Image Processing for Scientific and Technical Applications
• Publisher: Taylor & Francis Inc Mär 2004
• Publication Date: 2004
• Language: English
• ISBN 10: 0849319005
• ISBN 13: 9780849319006
• Binding: Buch
• Edition: 2nd Edition
• Condition: Neu
• Dimensions: 261W x 186H x 42D millimeters 261 millimeters width by 186 millimeters height by 42 millimeters depth
• Weight: 1488 grams

About this title

Synopsis

Image processing is fast becoming a valuable tool for analyzing multidimensional data in all areas of natural science. Since the publication of the best-selling first edition of this handbook, the field of image processing has matured in many of its aspects from ad hoc, empirical approaches to a sound science based on established mathematical and physical principles.

The Practical Handbook on Image Processing for Scientific and Technical Applications, Second Edition builds a sound basic knowledge of image processing, provides a critically evaluated collection of the best algorithms, and demonstrates those algorithms with real-world applications from many fields. It covers all aspects of image processing, from image formation to image analysis, and gives an up-to-date review of advanced concepts. Organized according to the hierarchy of tasks, each chapter includes a summary, an outline of the background the task requires, and a section of practical tips that help you avoid common errors and save valuable research time.

New in the Second Edition:

Expanded application areas now include technical fields such as the automotive industry, quality inspection, and materials science

More practical tips in each chapter

Discussion of digital camera interfaces and a comparison of CMOS vs. CCD cameras

A section on wavelets

Advanced techniques for reconstruction, new segmentation methods based on global optimization and anisotropic diffusion, and additional classification techniques, including neural networks, polynomial classification, and support vector machines

Just as digital image processing provides the key to studying complex scientific problems that researchers once could only dream of tackling, this handbook unlocks the intricacies of image processing and brings its power and potential within the grasp of researchers across the spectrum of scientific and engineering disciplines.

About the Author

Bernd Jahne