A Fuzzy-Similarity-Based Approach for High-Speed Real-Time Image Processing

Author

Tolt, Gustav ; Kalaykov, Ivan

Author_Institution

Dept. of Technol., Orebro Univ.

fYear

2005

fDate

27-29 June 2005

Firstpage

1234

Lastpage

1239

Abstract

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

Keywords

field programmable gate arrays; fuzzy logic; image processing; parallel processing; real-time systems; system-on-chip; FPGA; common denominator; fuzzy similarity; high-speed real-time image processing; parallel processing; uncertainty; vagueness; Algorithm design and analysis; Field programmable gate arrays; Fuzzy logic; Hardware; Humans; Image processing; Parallel processing; Robot control; Robot motion; Uncertainty;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control, 2005. Proceedings of the 2005 IEEE International Symposium on, Mediterrean Conference on Control and Automation

Conference_Location

Limassol

ISSN

2158-9860

Print_ISBN

0-7803-8936-0

Type

conf

DOI

10.1109/.2005.1467192

Filename

1467192

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3548941