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Digital Image Processing

  • Book
  • © 2002

Overview

Authors:
  1. Bernd Jähne

    1. Interdisciplinary Center for Scientific Computing, University of Heidelberg, Heidelberg, Germany

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  • A systematic approach to digital image processing
  • Uses examples and images to illustrate basic concepts
  • The CD-ROM contains all the images and artwork shown in the book, plus a run-time version of the image software heurisko
  • Includes supplementary material: sn.pub/extras

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Table of contents (20 chapters)

  1. Front Matter

    Pages I-XII
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  2. Foundation

    1. Front Matter

      Pages 1-1
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    2. Applications and Tools

      • Bernd Jähne
      Pages 3-27

    3. Image Representation

      • Bernd Jähne
      Pages 29-76

    4. Random Variables and Fields

      • Bernd Jähne
      Pages 77-97

    5. Neighborhood Operations

      • Bernd Jähne
      Pages 99-124

    6. Multiscale Representation

      • Bernd Jähne
      Pages 125-142

  3. Image Formation and Preprocessing

    1. Front Matter

      Pages 143-143
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    2. Quantitative Visualization

      • Bernd Jähne
      Pages 145-175

    3. Image Formation

      • Bernd Jähne
      Pages 177-203

    4. 3-D Imaging

      • Bernd Jähne
      Pages 205-231

    5. Digitization, Sampling, Quantization

      • Bernd Jähne
      Pages 233-244

    6. Pixel Processing

      • Bernd Jähne
      Pages 245-280

  4. Feature Extraction

    1. Front Matter

      Pages 281-281
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    2. Averaging

      • Bernd Jähne
      Pages 283-314

    3. Edges

      • Bernd Jähne
      Pages 315-337

    4. Simple Neighborhoods

      • Bernd Jähne
      Pages 339-374

    5. Motion

      • Bernd Jähne
      Pages 375-412

    6. Texture

      • Bernd Jähne
      Pages 413-424

  5. Image Analysis

    1. Front Matter

      Pages 425-425
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Keywords

About this book

This chapter centers around the question of how to represent the infor­ mation contained in images. Together with the next two chapters it lays the mathematical foundations for low-Ievel image processing. Two key points are emphasized in this chapter. First, the information contained in images can be represented in en­ tirely different ways. The most important are the spatial representation (Section 2.2) and wave number representation (Section 2.3). These repre­ sentations just look at spatial data from different points of view. Since the various representations are complete and equivalent, they can be converted into each other. The conversion between the spatial and wave number representation is the well-known Fourier transform. This trans­ form is an example of a more general dass of operations, the unitary transforms (Section 2.4). Second, we discuss how these representations can be handled with digital computers. How are images represented by arrays of digital num­ bers in an adequate way? How are these data handled efficiently? Can fast algorithms be devised to convert one representation into another? A key example is the fast Fourier transform, discussed in Section 2.5. 2.2 Spatial Representation of Digital Images 2.2.1 Pixel and Voxel Images constitute a spatial distribution of the irradiance at a plane.

Authors and Affiliations

  • Interdisciplinary Center for Scientific Computing, University of Heidelberg, Heidelberg, Germany

    Bernd Jähne

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