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Binary Decision Diagrams as a New Paradigm for Morphological Machines

  • Junior Barrera
  • Ronaldo Fumio Hashimoto
Part of the Computational Imaging and Vision book series (CIVI, volume 30)

Abstract

Mathematical Morphology (MM) is a general framework for studying mappings between complete lattices. In particular, mappings between binary images that are translation invariant and locally defined within a window are of special interest in MM. They are called W-operators. A key aspect of MM is the representation of W-operators in terms of dilations, erosions, intersection, union, complementation and composition. When W-operators are expressed in this form, they are called morphological operators. An implementation of this decomposition structure is called morphological machine (MMach). A remarkable property of this decomposition structure is that it can be represented efficiently by graphs called Binary Decision Diagrams (BDDs). In this paper, we propose a new architecture for MMachs that is based on BDDs. We also show that reduced and ordered BDDs (ROBDDs) are non-ambiguous schemes for representing W- operators and we present a method to compute them. This procedure can be applied for the automatic proof of equivalence between morphological operators, since the W-operator they represent are equal if and only if they have the same ROBDD.

Keywords

Binary Decision Diagram Morphological Machine Morphological Language Morphological Operator 

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Copyright information

© Springer 2005

Authors and Affiliations

  • Junior Barrera
    • 1
  • Ronaldo Fumio Hashimoto
    • 1
  1. 1.Departamento de Ciencia da ComputacaoInstitute de Matematica e Estatistica - USPCidade Universitaria - Sao Paulo - SPBrasil

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