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Image Processing, Analysis and Machine Vision

  • Book
  • © 1993

Overview

Authors:
  1. Milan Sonka

    1. University of Iowa, Iowa City, USA

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  2. Vaclav Hlavac

    1. Czech Technical University, Prague, Czech Republic

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    You can also search for this author in PubMed   Google Scholar

  3. Roger Boyle

    1. University of Leeds, Leeds, England

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Table of contents (14 chapters)

  1. Front Matter

    Pages i-xix
    Download chapter PDF

  2. Introduction

    • Milan Sonka, Vaclav Hlavac, Roger Boyle
    Pages 1-12

  3. The digitized image and its properties

    • Milan Sonka, Vaclav Hlavac, Roger Boyle
    Pages 13-41

  4. Data structures for image analysis

    • Milan Sonka, Vaclav Hlavac, Roger Boyle
    Pages 42-55

  5. Image pre-processing

    • Milan Sonka, Vaclav Hlavac, Roger Boyle
    Pages 56-111

  6. Segmentation

    • Milan Sonka, Vaclav Hlavac, Roger Boyle
    Pages 112-191

  7. Shape representation and description

    • Milan Sonka, Vaclav Hlavac, Roger Boyle
    Pages 192-254

  8. Object recognition

    • Milan Sonka, Vaclav Hlavac, Roger Boyle
    Pages 255-315

  9. Image understanding

    • Milan Sonka, Vaclav Hlavac, Roger Boyle
    Pages 316-372

  10. 3D Vision

    • Milan Sonka, Vaclav Hlavac, Roger Boyle
    Pages 373-421

  11. Mathematical morphology

    • Milan Sonka, Vaclav Hlavac, Roger Boyle
    Pages 422-442

  12. Linear discrete image transforms

    • Milan Sonka, Vaclav Hlavac, Roger Boyle
    Pages 443-457

  13. Image data compression

    • Milan Sonka, Vaclav Hlavac, Roger Boyle
    Pages 458-476

  14. Texture

    • Milan Sonka, Vaclav Hlavac, Roger Boyle
    Pages 477-506

  15. Motion analysis

    • Milan Sonka, Vaclav Hlavac, Roger Boyle
    Pages 507-542

  16. Back Matter

    Pages 543-555
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Keywords

About this book

Image Processing, Analysis and Machine Vision represent an exciting part of modern cognitive and computer science. Following an explosion of inter­ est during the Seventies, the Eighties were characterized by the maturing of the field and the significant growth of active applications; Remote Sensing, Technical Diagnostics, Autonomous Vehicle Guidance and Medical Imaging are the most rapidly developing areas. This progress can be seen in an in­ creasing number of software and hardware products on the market as well as in a number of digital image processing and machine vision courses offered at universities world-wide. There are many texts available in the areas we cover - most (indeed, all of which we know) are referenced somewhere in this book. The subject suffers, however, from a shortage of texts at the 'elementary' level - that appropriate for undergraduates beginning or completing their studies of the topic, or for Master's students - and the very rapid developments that have taken and are still taking place, which quickly age some of the very good text books produced over the last decade or so. This book reflects the authors' experience in teaching one and two semester undergraduate and graduate courses in Digital Image Processing, Digital Image Analysis, Machine Vision, Pattern Recognition and Intelligent Robotics at their respective institutions.

Authors and Affiliations

  • University of Iowa, Iowa City, USA

    Milan Sonka

  • Czech Technical University, Prague, Czech Republic

    Vaclav Hlavac

  • University of Leeds, Leeds, England

    Roger Boyle

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