Opto-mechanical oriented edge filtering

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

Abstract

Cognitive informatics is a very hot topic today, trying to provide solutions to problems in computation that are easily solved by the brain but are hard for a computer. The information processing properties of the brain are taken as the basis for such artificial systems. The first step of visual information processing, the extraction of orientation selective contours, is done in the primary visual cortex. A similar, orientation based filtering can be the first step in many vision systems of cognitive informatics. This paper presents a new approach to orientation selective contour detection. Oriented motion blur is used to filter for the desired orientations. The motion blur operation is performed before digitalization, using a vibrating mirror. The proposed technique not only provides a very high speed, high resolution contour detector, but also solves the problem of contour integration.

Original languageEnglish
Title of host publicationProceedings of the 5th Canadian Conference on Computer and Robot Vision, CRV 2008
Pages253-260
Number of pages8
DOIs
Publication statusPublished - Sep 25 2008
Event5th Canadian Conference on Computer and Robot Vision, CRV 2008 - Windsor, ON, Canada
Duration: May 28 2008May 30 2008

Publication series

NameProceedings of the 5th Canadian Conference on Computer and Robot Vision, CRV 2008

Other

Other5th Canadian Conference on Computer and Robot Vision, CRV 2008
CountryCanada
CityWindsor, ON
Period5/28/085/30/08

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ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering

Cite this

Reskó, B., Baranyi, P., & Korondi, P. (2008). Opto-mechanical oriented edge filtering. In Proceedings of the 5th Canadian Conference on Computer and Robot Vision, CRV 2008 (pp. 253-260). [4562118] (Proceedings of the 5th Canadian Conference on Computer and Robot Vision, CRV 2008). https://doi.org/10.1109/CRV.2008.52