DocumentCode
2329867
Title
Video processing fuzzy algorithm detecting movement and suppressing noise in remote sensing apllications
Author
Ponomaryov, V. ; Rosales-Silva, A. ; Gallegos-Funes, F. ; Nino-de-Rivera, L.
Author_Institution
ESIME, Nat. Polytech. Inst., Mexico City
fYear
2008
fDate
June 29 2008-July 2 2008
Firstpage
406
Lastpage
408
Abstract
Novel fuzzy logic scheme that employs the gradients and vectors for motion object detection, and spatial temporal filtering to suppress a noise has been proposed. The filtering framework is based on proposed fuzzy rules to characterize pixelpsilas properties, and it runs applying the past and present frames of a sequence. The simulation results have shown the effectiveness of novel video colour fuzzy algorithm in comparison with existed ones.
Keywords
fuzzy systems; geophysical signal processing; image colour analysis; image denoising; remote sensing; video signal processing; fuzzy algorithm; motion object detection; remote sensing; spatial temporal filtering; video colour; video processing; Algorithm design and analysis; Colored noise; Filtering algorithms; Fuzzy logic; Motion estimation; Noise reduction; Pixel; Remote sensing; Video sequences; Videoconference;
fLanguage
English
Publisher
ieee
Conference_Titel
Mathematical Methods in Electromagnetic Theory, 2008. MMET 2008. 12th International Conference on
Conference_Location
Odesa
Print_ISBN
978-1-4244-2284-5
Type
conf
DOI
10.1109/MMET.2008.4581010
Filename
4581010
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