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A fuzzy-similarity-based approach for high-speed real-time image processing
Örebro University, Department of Technology.
Örebro University, Department of Technology.
2005 (English)In: Intelligent Control, 2005 : Proceedings of the 2005 IEEE International Symposium on, Mediterrean Conference on Control and Automation , 2005, p. 1240-1245Conference paper, Published paper (Refereed)
Abstract [en]

In this paper, we present a number of algorithms for performing some basic image processing tasks. The common denominator is the fuzzy similarity framework, that is used for representing vagueness and uncertainty associated with the similarity concept. The algorithms are designed so as to be implementable on FPGAs, making extensive use of the FPGA's parallel processing capabilities. Due to the limited space, we give pointers to previously published work for more details about the algorithms

Place, publisher, year, edition, pages
2005. p. 1240-1245
Keywords [en]
FPGA, fuzzy logic, image processing, parallel processing, real-time systems, system-on-chip
National Category
Computer Sciences
Research subject
Computer and Systems Science
Identifiers
URN: urn:nbn:se:oru:diva-4276DOI: 10.1109/.2005.1467192OAI: oai:DiVA.org:oru-4276DiVA, id: diva2:138575
Conference
2005 IEEE International Symposium on Intelligent Control and 13th Mediterranean Conference on Control and Automation
Available from: 2007-12-14 Created: 2007-12-14 Last updated: 2018-01-13Bibliographically approved

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Tolt, GustavKalaykov, Ivan

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
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More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
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Output format
  • html
  • text
  • asciidoc
  • rtf