Digital Image Processing Concepts, Algorithms, and Scientific Applications
Digital image processing is a fascinating subject in several aspects. Human beings perceive most of the information about their environment through their visual sense. While for a long time images could only be captured by photography, we are now at the edge of another technological revolution which...
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| Format: | eBook |
| Language: | English |
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Berlin, Heidelberg
Springer Berlin Heidelberg
1993, 1993
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| Edition: | 2nd ed. 1993 |
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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 Processing Windows: 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