Corner detection in digital images using fuzzy reasoning

András Rövid, Annamária R. Várkonyi-Kóczy, Maria Da Graça Ruano

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Abstract

Corner detection plays an important role in computer vision as well as in 3D reconstruction of a scene. With the help of the corners we can determine the most characteristic points of an object and so reconstruct them. Corners are useful in case of pattern recognition, as well. In this paper a new corner detection scheme is introduced which is based on fuzzy reasoning and applies a special local structure matrix.

Original languageEnglish
Title of host publicationICCC 2004 - Second IEEE International Conference on Computational Cybernetics, Proceedings
EditorsW. Elmenreich, W. Haidinger, J.A.T. Machado
Pages95-99
Number of pages5
Publication statusPublished - Dec 1 2004
EventICCC 2004 - Second IEEE International Conference on Computational Cybernetics - Vienna, Austria
Duration: Aug 30 2004Sep 1 2004

Publication series

NameICCC 2004 - Second IEEE International Conference on Computational Cybernetics, Proceedings

Other

OtherICCC 2004 - Second IEEE International Conference on Computational Cybernetics
CountryAustria
CityVienna
Period8/30/049/1/04

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Keywords

  • 3D modeling
  • Corner detection techniques
  • Fuzzy
  • Image processing
  • Noise elimination
  • Smoothing

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Rövid, A., Várkonyi-Kóczy, A. R., & Da Graça Ruano, M. (2004). Corner detection in digital images using fuzzy reasoning. In W. Elmenreich, W. Haidinger, & J. A. T. Machado (Eds.), ICCC 2004 - Second IEEE International Conference on Computational Cybernetics, Proceedings (pp. 95-99). (ICCC 2004 - Second IEEE International Conference on Computational Cybernetics, Proceedings).