Efficient implementation of regulated morphological operations based on directional interval coding

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

The problem of efficient implementation of regulated morphological operations on a serial computer is discussed, where it is assumed that arbitrary kernels may be used. The proposed approach is based on a compact representation of the image which is obtained by using directional interval coding, where the direction of the intervals is selected based on the image contents. This representation is particularly suitable for the processing of directional edge planes. By using stacked intervals, it is described how to obtain the result of a convolution which is based on interval coding, and thereby how to obtain an efficient implementation of regulated morphological operations.

Original languageEnglish
Title of host publicationAdvances in Pattern Recognition - Joint IAPR International Workshops SSPR 1998 and SPR 1998, Proceedings
EditorsAdnan Amin, Dov Dori, Pavel Pudil, Herbert Freeman
PublisherSpringer Verlag
Pages397-404
Number of pages8
ISBN (Print)3540648585, 9783540648581
DOIs
StatePublished - 1 Jan 1998
Event7th Joint IAPR International Workshop on Structural and Syntactic Pattern Recognition, SSPR 1998 and 2nd International Workshop on Statistical Techniques in Pattern Recognition, SPR 1998 - Sydney, Australia
Duration: 11 Aug 199813 Aug 1998

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1451
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference7th Joint IAPR International Workshop on Structural and Syntactic Pattern Recognition, SSPR 1998 and 2nd International Workshop on Statistical Techniques in Pattern Recognition, SPR 1998
Country/TerritoryAustralia
CitySydney
Period11/08/9813/08/98

Keywords

  • Directional decomposition
  • Directional interval coding
  • Document analysis
  • Graphics recognition
  • Mathematical morphology
  • Regulated morphology

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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