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Graph Based Representations in Pattern Recognition

  • Jean-Michel Jolion
  • Walter G. Kropatsch

Part of the Computing Supplement book series (COMPUTING, volume 12)

Table of contents

  1. Front Matter
    Pages i-vii
  2. R. Englert, A. B. Cremers, J. Seelmann-Eggebert
    Pages 11-20
  3. F. Tupin, J.F. Mangin, E. Pechersky, J. M. Nicolas, H. Maître
    Pages 21-31
  4. L. P. Cordella, P. Foggia, C. Sansone, M. Vento
    Pages 43-52
  5. K. Shearer, H. Bunke, S. Venkatesh, D. Kieronska
    Pages 53-62
  6. L. Brun, J.P. Domenger, J.P. Braquelaire
    Pages 83-92
  7. W. G. Kropatsch, M. Burge, S. Ben Yacoub, N. Selmaoui
    Pages 101-110
  8. B. Ducourthial, G. Constantinescu, A. Mérigot
    Pages 111-121
  9. J.G. Pailloncy, J. M. Jolion
    Pages 123-134
  10. V. V. Mottl, A. B. Blinov, A. V. Kopylov, A. A. Kostin
    Pages 135-145
  11. Back Matter
    Pages 147-151

About these proceedings

Introduction

Graph-based representation of images is becoming a popular tool since it represents in a compact way the structure of a scene to be analyzed and allows for an easy manipulation of sub-parts or of relationships between parts. Therefore, it is widely used to control the different levels from segmentation to interpretation. The 14 papers in this volume are grouped in the following subject areas: hypergraphs, recognition and detection, matching, segmentation, implementation problems, representation.

Keywords

Graph Theory algorithms image analysis image processing pattern recognition

Editors and affiliations

  • Jean-Michel Jolion
    • 1
  • Walter G. Kropatsch
    • 2
  1. 1.Laboratoire Reconnaisance de Formes et VisionINSALyonFrance
  2. 2.Pattern Recognition and Image Processing Group, Institute of AutomationUniversity of ViennaAustria

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-7091-6487-7
  • Copyright Information Springer-Verlag/Wien 1998
  • Publisher Name Springer, Vienna
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-211-83121-2
  • Online ISBN 978-3-7091-6487-7
  • Series Print ISSN 0344-8029
  • Buy this book on publisher's site