Mathematical Morphology and Its Applications to Image Processing

Mathematical Morphology and Its Applications to Image Processing

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Description

Mathematical morphology (MM) is a theory for the analysis of spatial structures. It is called morphology since it aims at analyzing 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, and so on. 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 45 contributions classified by subject. It demonstrates a range of topics suited to the morphological approach.
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Product details

  • Hardback | 396 pages
  • 171.45 x 230 x 31.75mm | 857.97g
  • Dordrecht, Netherlands, United States
  • English
  • indexes
  • 0792330935
  • 9780792330936

Table of contents

Theory. Filtering. Segmentation. Sampling. Coding. Representations and Slope Transform. Granulometries and Shape Description. Random Models and Tessellations. Algorithmic Techniques. Biological Applications. Industrial and Remote Sensing Applications. Appendix A: The "Centre de Morphologie Mathematique": an overview. Appendix B: List of poster contributions.
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