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Mathematical Morphology and Its Applications to Image Processing

  • Jean Serra
  • Pierre Soille

Part of the Computational Imaging and Vision book series (CIVI, volume 2)

Table of contents

  1. Front Matter
    Pages i-ix
  2. Jean Serra, Pierre Soille
    Pages 1-4
  3. L. Doyen, L. Najman, J. Mattioli
    Pages 13-20
  4. Y. Chen, E. R. Dougherty
    Pages 29-36
  5. Neal R. Harvey, Stephen Marshall
    Pages 53-59
  6. José Crespo, Ronald W. Schafer
    Pages 85-92
  7. B. Marcotegui, F. Meyer
    Pages 101-108
  8. Dinei A. F. Florêncio, Ronald W. Schafer
    Pages 109-116
  9. R. Kresch, D. Malah
    Pages 141-148
  10. J. Andrew Bangham, Pierre Chardaire, Paul Ling
    Pages 179-184
  11. C. S. Regazzoni, G. L. Foresti, A. N. Venetsanopoulos
    Pages 185-192
  12. E. Bertin, S. Marchand-Maillet, J.-M. Chassery
    Pages 209-216
  13. Thomas C. M. Lee, Richard Cowan
    Pages 217-224
  14. J.-L. Quenec’h, J. -L. Chermant, M. Coster, D. Jeulin
    Pages 225-232
  15. Marc Van Droogenbroeck
    Pages 241-248
  16. Edmond J. Breen, David H. Monro
    Pages 249-256
  17. Michel Schmitt
    Pages 257-264
  18. Luc Vincent
    Pages 265-272
  19. Alina N. Moga, Timo Viero, Bogdan P. Dobrin, Moncef Gabbouj
    Pages 281-288
  20. J. B. T. M. Roerdink, G. S. M. Blaauwgeers
    Pages 289-296
  21. R. Brémond, D. Jeulin
    Pages 297-304
  22. C. Gratin, J. Vitrià, F. Moreso, D. Serón
    Pages 309-316
  23. S. Marshall, G. K. Matsopoulos, J. N. H. Brunt
    Pages 317-324
  24. J. R. Casas, P. Esteban, A. Moreno, M. Carrera
    Pages 325-331
  25. F. Marqués, T. Megía, N. Joshi, A. Navarro-Quilis
    Pages 333-340
  26. C. Mering, J.-F. Parrot
    Pages 353-360
  27. Back Matter
    Pages 369-385

About this book

Introduction

Mathematical morphology (MM) is a theory for the analysis of spatial structures. It is called morphology since it aims at analysing the shape and form of objects, and it is mathematical in the sense that the analysis is based on set theory, topology, lattice algebra, random functions, etc.
MM is not only a theory, but also a powerful image analysis technique. The purpose of the present book is to provide the image analysis community with a snapshot of current theoretical and applied developments of MM. The book consists of forty-five contributions classified by subject. It demonstrates a wide range of topics suited to the morphological approach.

Keywords

Lattice algebra algorithm coding filtering image analysis image processing mathematical morphology remote sensing

Editors and affiliations

  • Jean Serra
    • 1
  • Pierre Soille
    • 1
  1. 1.Centre de Morphologie MathématiqueEcole des Mines de ParisFontainebleauFrance

Bibliographic information

  • DOI https://doi.org/10.1007/978-94-011-1040-2
  • Copyright Information Kluwer Academic Publishers 1994
  • Publisher Name Springer, Dordrecht
  • eBook Packages Springer Book Archive
  • Print ISBN 978-94-010-4453-0
  • Online ISBN 978-94-011-1040-2
  • Series Print ISSN 1381-6446
  • Buy this book on publisher's site