Intended as a practical guide, the book takes the reader from basic concepts to up-to-date research topics in digital image processing. Only little special knowledge in computer sciences is required since many principles and mathematical tools widely used in natural sciences are also applied in digital image processing thus the reader with a general background in natural science gets an easy access to the material presented. The book discusses the following topics: image acquisition and digitization; linear and nonlinear filter operations; edge detection; local orientation and texture; fast algorithms on pyramidal and multigrid data structures; morphological operations to detect the shape of objects; segmentation and classification. Further chapters deal with the reconstruction of three-dimensional objects from projections and the analysis of stereo images and image sequences with differential, correlation, and filter algorithms. 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.
Rezensionen / Stimmen
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#
Sprache
Verlagsort
Verlagsgruppe
Zielgruppe
Für höhere Schule und Studium
Für Beruf und Forschung
Produkt-Hinweis
Illustrationen
297 s/w Abbildungen, 88 farbige Abbildungen
16 colour and 183 b&w illustrations
Maße
Höhe: 25.4 cm
Breite: 17.8 cm
Gewicht
ISBN-13
978-3-540-53782-3 (9783540537823)
DOI
10.1007/978-3-662-11565-7
Schweitzer Klassifikation
1 Introduction.- 2 Image Formation and Digitization.- 3 Space and Wave Number Domain.- 4 Pixels.- 5 Neighborhoods.- 6 Mean and Edges.- 7 Local Orientation.- 8 Scales.- 9 Texture.- 10 Segmentation.- 11 Shape.- 12 Classification.- 13 Reconstruction from Projections.- 14 Motion.- 15 Displacement Vectors.- 16 Displacement Vector Fields.- 17 Space-Time Images.- A Mathematical Preliminaries.- A.1 Matrix Algebra.- A.1.1 Definitions.- A.1.2 The Overdetermined Discrete Inverse Problem.- A.1.3 Suggested Further Readings.- A.2 Fourier Transformation.- A.2.1 Definition.- A.2.2 Properties of the Fourier Transform.- A.2.3 Important Fourier Transform Pairs.- A.2.4 Suggested Further Readings.- A.3 Discrete Fourier transform (DFT).- A.3.1 Definition.- A.3.2 Important Properties.- A.3.3 Important Transform Pairs.- A.3.4 Suggested Further Readings.- B PC-Based Image Processing Systems.- B.1 Overview.- B.2 Video Input.- B.3 Frame Buffer.- B.4 Video Output.- B.5 Dedicated Image Processing Hardware.- B.5.1 Process Window: Area-of-Interest.- B.5.2 Arithmetic Pipeline Processors.- B.5.3 Filter processors.- B.5.4 Histogram and Feature Extractors.- B.5.5 Parallel Processing in the Video Pipeline.- B.6 Programmable Systems.
