Image Processing, Analysis and Machine Vision

1. Front Matter

   Pages i-xix

   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

    PDF

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.

• cognition
• digital image analysis
• image analysis
• image processing
• machine vision
• pattern recognition
• remote sensing
• robot
• robotics

• 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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