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Medical Image Understanding Technology

Artificial Intelligence and Soft-Computing for Image Understanding

  • Ryszard Tadeusiewicz
  • Marek R. Ogiela

Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 156)

Table of contents

About this book

Introduction

A detailed description of a new approach to perceptual analysis and processing of medical images is given. Instead of traditional pattern recognition a new method of image analysis is presented, based on a syntactic description of the shapes selected on the image and graph-grammar parsing algorithms. This method of "Image Understanding" can be found as a model of mans’ cognitive image understanding processes. The usefulness for the automatic understanding of the merit of medical images is demonstrated as well as the ability for giving useful diagnostic descriptions of the illnesses. As an application, the production of a content-based, automatically generated index for arranging and for searching medical images in multimedia medical databases is presented.

Keywords

Analysis Racter algorithm algorithms artificial intelligence cognition databases image analysis image processing intelligence model multimedia pattern analysis pattern recognition

Editors and affiliations

  • Ryszard Tadeusiewicz
    • 1
  • Marek R. Ogiela
    • 1
  1. 1.Department of Bio CyberneticsAGH University of Science & TechnologyKrakówPoland

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-540-40997-7
  • Copyright Information Springer-Verlag Berlin Heidelberg 2004
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-642-53578-9
  • Online ISBN 978-3-540-40997-7
  • Series Print ISSN 1434-9922
  • Series Online ISSN 1860-0808
  • Buy this book on publisher's site