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

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
  • About this book