Morphological approach for dashed lines detection

Gady Agam, Huizhu Luo, Its’hak Dinstein

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

15 Scopus citations


New directional morphological operators that have accurate selectivity and controllable strictness, are defined and applied to dashed fines detection and labeling. The proposed approach is based on adaptation of the directions and dimensions of newly defined tube-directional morphological operators to local characteristics of the data. The separation of maps and fine drawings, into four images containing respectively graphics, character strings, symbols, and dashes was presented in a previous paper. This paper presents an algorithm for detection and labeling of dashed lines, where the input is an image of dashes. Experimental results demonstrate very good detection even in cases where the dashed lines intersect.

Original languageEnglish
Title of host publicationGraphics Recognition
Subtitle of host publicationMethods and Applications - 1st International Workshop, Selected Papers
EditorsRangachar Kasturi, Karl Tombre
PublisherSpringer Verlag
Number of pages14
ISBN (Print)3540612262, 9783540612261
StatePublished - 1 Jan 1996
Event1st International Workshop on Graphics Recognition, 1995 - University Park, United States
Duration: 10 Aug 199511 Aug 1995

Publication series

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


Conference1st International Workshop on Graphics Recognition, 1995
Country/TerritoryUnited States
CityUniversity Park

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science (all)


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