Adaptive design of logical structure filters

Yidong Chen, Edward R. Dougherty

Research output: Contribution to journalConference articlepeer-review

Abstract

A binary granulometry is formed as a union of parameterized openings. It induces a reconstructive granulometry by passing image components it does not fully eliminate. Reconstructive granulometries have historically been formed as unions of reconstructive parameterized openings. The theory has been extended to the new class of logical structure filters (LSF) [1]. These are unions of intersections of both reconstructive and complementary reconstructive openings Reconstructive granulometries form the special class of disjunctive LSFs. This paper covers adaptive methods to design parameterized LSFs. A systematic formulation of adaptive transitions is given and applications are provided.

Original languageEnglish (US)
Pages (from-to)43-51
Number of pages9
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume3457
DOIs
StatePublished - 1998
Externally publishedYes
EventMathematical Modeling and Estimation Techniques in Computer Vision - San Diego, CA, United States
Duration: Jul 22 1998Jul 23 1998

Keywords

  • Adaptive filter
  • Granulometry
  • Mathematical morphology
  • Opening
  • Optimal filter

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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