Directional edge detection using parallel cognitive logic cells

Sherin Sugathan, Alex Pappachen James

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

2 Citations (Scopus)

Abstract

This paper presents a novel edge detection method based on parallel cognitive cells which also supports an implementation in high speed hardware. The paper develops directional edge detection strategies that utilize the cognitive cells using the relative neighbourhood-pixel intensity variations in the images. The proposed edge detection method has been implemented in CUDA. The running time for a serial implementation and an equivalent parallel implementation are also reported.

Original languageEnglish
Title of host publicationProceedings of the 2013 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2013
Pages694-697
Number of pages4
DOIs
Publication statusPublished - Dec 1 2013
Event2013 2nd International Conference on Advances in Computing, Communications and Informatics, ICACCI 2013 - Mysore, India
Duration: Aug 22 2013Aug 25 2013

Publication series

NameProceedings of the 2013 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2013

Other

Other2013 2nd International Conference on Advances in Computing, Communications and Informatics, ICACCI 2013
CountryIndia
CityMysore
Period8/22/138/25/13

Keywords

  • CUDA
  • Cognitive Logic Cells
  • Edge Detection
  • Spatial Change Detection

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems

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  • Cite this

    Sugathan, S., & James, A. P. (2013). Directional edge detection using parallel cognitive logic cells. In Proceedings of the 2013 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2013 (pp. 694-697). [6637257] (Proceedings of the 2013 International Conference on Advances in Computing, Communications and Informatics, ICACCI 2013). https://doi.org/10.1109/ICACCI.2013.6637257