Implementing continuous-scale morphology via curve evolution

Guillermo Sapiro, Ron Kimmel, Doron Shaked, Benjamin B. Kimia, Alfred M. Bruckstein

Research output: Contribution to journalArticlepeer-review

91 Scopus citations

Abstract

A new approach to digital implementation of continuous-scale mathematical morphology is presented. The approach is based on discretization of evolution equations associated with continuous multiscale morphological operations. Those equations, and their corresponding numerical implementation, can be derived either directly from mathematical morphology definitions or from curve evolution theory. The advantages of the proposed approach over the classical discrete morphology are demonstrated.

Original languageEnglish (US)
Pages (from-to)1363-1372
Number of pages10
JournalPattern Recognition
Volume26
Issue number9
DOIs
StatePublished - Sep 1993
Externally publishedYes

All Science Journal Classification (ASJC) codes

  • Software
  • Signal Processing
  • Computer Vision and Pattern Recognition
  • Artificial Intelligence

Keywords

  • Curve evolution
  • Digital implementation
  • Mathematical morphology
  • Numerical algorithms
  • Partial differential equations
  • Scale-space

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