Digital Image Processing: Concepts, Algorithms, and Scientific Applications / Edition 4

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Overview

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.

This successful, practical guide 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 the fundamentals to current research in the field and teaches them how to use them for data gathering and interpretation in their science.

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Editorial Reviews

Booknews
A practical guide, moving from basic concepts to up-to-date research topics in digital image processing. The discussion of the general concepts is supplemented with examples from applications on PC-based image processing systems and ready-to-use implementations of important algorithms. A special feature is the extensive treatment of three- dimensional images and image sequences. Little special knowledge in computer science is required since many principles and mathematical tools widely used in natural sciences are also applied in digital image processing. Many examples from different areas show how the reader can use digital image processing as an experimental tool for image data acquisition and evaluation in his or her research area. Annotation c. Book News, Inc., Portland, OR (booknews.com)
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Product Details

  • ISBN-13: 9783540627241
  • Publisher: Springer-Verlag New York, LLC
  • Publication date: 1/28/1997
  • Edition description: REVISED
  • Edition number: 4
  • Pages: 570
  • Product dimensions: 6.37 (w) x 9.57 (h) x 1.15 (d)

Table of Contents

Foundation
Image Representation
Statistics and Models
Multiscale Representation
Quantitative Visualization
Image Formation
Pixel Processing
Restoration and Reconstruction
Averages and Edges
Simple Neighborhoods
Texture
Motion
Regions and Discontinuities
Classification
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