Digital Image Processing Concepts, Algorithms, and Scientific Applications
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 digi...
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| Format: | eBook |
| Language: | English |
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Berlin, Heidelberg
Springer Berlin Heidelberg
1991, 1991
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| Edition: | 1st ed. 1991 |
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| Online Access: | |
| Collection: | Springer Book Archives -2004 - Collection details see MPG.ReNa |
Table of Contents:
- 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