DocumentCode :
2905289
Title :
Image enhancement and image quality analysis using fuzzy logic techniques
Author :
Saenko, Alexey ; Polte, Galina ; Musalimov, Victor
Author_Institution :
Mechatron. Dept., Nat. Res. Univ. of Inf. Technol., St. Petersburg, Russia
fYear :
2012
fDate :
21-23 June 2012
Firstpage :
95
Lastpage :
98
Abstract :
The paper compares three different edge detection approaches which are based on search, zero-crossing and fuzzy logic. One of them using fuzzy technique, was chosen for image enhancement and applied in a very specific field of optical measurements.
Keywords :
edge detection; fuzzy set theory; image enhancement; edge detection approach; fuzzy logic approach; fuzzy logic technique; image enhancement; image quality analysis; optical measurements; search approach; zero-crossing approach; Approximation methods; Fuzzy logic; Image edge detection; Image enhancement; Image quality; Optical variables measurement; fuzzy logic; image enhancement; image processing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications (COMM), 2012 9th International Conference on
Conference_Location :
Bucharest
Print_ISBN :
978-1-4577-0057-6
Type :
conf
DOI :
10.1109/ICComm.2012.6262568
Filename :
6262568
Link To Document :
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