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A fuzzy-similarity-based approach for high-speed real-time image processing
Örebro universitet, Institutionen för teknik.
Örebro universitet, Institutionen för teknik.
2005 (engelsk)Inngår i: Intelligent Control, 2005 : Proceedings of the 2005 IEEE International Symposium on, Mediterrean Conference on Control and Automation , 2005, s. 1240-1245Konferansepaper, Publicerat paper (Fagfellevurdert)
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

sted, utgiver, år, opplag, sider
2005. s. 1240-1245
Emneord [en]
FPGA, fuzzy logic, image processing, parallel processing, real-time systems, system-on-chip
HSV kategori
Forskningsprogram
Data- och systemvetenskap
Identifikatorer
URN: urn:nbn:se:oru:diva-4276DOI: 10.1109/.2005.1467192OAI: oai:DiVA.org:oru-4276DiVA, id: diva2:138575
Konferanse
2005 IEEE International Symposium on Intelligent Control and 13th Mediterranean Conference on Control and Automation
Tilgjengelig fra: 2007-12-14 Laget: 2007-12-14 Sist oppdatert: 2018-01-13bibliografisk kontrollert

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