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Algorithms for Graphics and Image Processing

  • Book
  • © 1982

Overview

Authors:
  1. Theo Pavlidis

    1. Bell Laboratories, USA

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Table of contents (17 chapters)

  1. Front Matter

    Pages i-xvii
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  2. Introduction

    • Theo Pavlidis
    Pages 1-25

  3. Digitization of Gray Scale Images

    • Theo Pavlidis
    Pages 27-46

  4. Processing of Gray Scale Images

    • Theo Pavlidis
    Pages 47-63

  5. Segmentation

    • Theo Pavlidis
    Pages 65-74

  6. Projections

    • Theo Pavlidis
    Pages 75-98

  7. Data Structures

    • Theo Pavlidis
    Pages 99-127

  8. Bilevel Pictures

    • Theo Pavlidis
    Pages 129-165

  9. Contour Filling

    • Theo Pavlidis
    Pages 167-193

  10. Thinning Algorithms

    • Theo Pavlidis
    Pages 195-214

  11. Curve Fitting and Curve Displaying

    • Theo Pavlidis
    Pages 215-246

  12. Curve Fitting with Splines

    • Theo Pavlidis
    Pages 247-273

  13. Approximation of Curves

    • Theo Pavlidis
    Pages 275-298

  14. Surface Fitting and Surface Displaying

    • Theo Pavlidis
    Pages 299-316

  15. The Mathematics of Two-Dimensional Graphics

    • Theo Pavlidis
    Pages 317-335

  16. Polygon Clipping

    • Theo Pavlidis
    Pages 337-357

  17. The Mathematics of Three-Dimensional Graphics

    • Theo Pavlidis
    Pages 359-375

  18. Creating Three-Dimensional Graphic Displays

    • Theo Pavlidis
    Pages 377-401

  19. Back Matter

    Pages 403-447
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Keywords

About this book

The technological developments of the last ten years have made com­ puter graphics and image processing by computer popular. Pictorial pat­ tern recognition has also shown significant progress. Clearly, there exist overlapping interests among the three areas of research. Graphic displays are of concern to anyone involved in image processing or pic­ torial pattern recognition and many problems in graphics require methodologies from image processing for their solutions. The data structures used in all three areas are similar. It seems that there is a common body of knowledge underlying all three areas, pictorial informa­ tion processing by computer. The novelty of these fields makes it difficult to design a course or to a write a book covering their basic concepts. Some of the treatises on graphics focus on the hardware and methods of current interest while treatises on image processing often emphasize applications and classical signal processing. The fast evolution of technology causes such material to lose its relevance. For example, the development of optical fibers has reduced the importance of bandwidth compression.

Authors and Affiliations

  • Bell Laboratories, USA

    Theo Pavlidis

Bibliographic Information

  • Book Title: Algorithms for Graphics and Image Processing

  • Authors: Theo Pavlidis

  • DOI: https://doi.org/10.1007/978-3-642-93208-3

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Springer Book Archive

  • Copyright Information: Computer Science Press, Inc. 1982

  • Softcover ISBN: 978-3-642-93210-6Published: 16 January 2012

  • eBook ISBN: 978-3-642-93208-3Published: 06 December 2012

  • Edition Number: 1

  • Number of Pages: XVIII, 448

  • Topics: Computer Graphics, Image Processing and Computer Vision

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