DocumentCode :
605560
Title :
Automatic ship hull inspection using fuzzy logic
Author :
Juan, C. ; William, C. ; David, Marcelo ; George, A. ; Delgado ; Delgado, G. ; Vladimir, D.
Author_Institution :
Escuela Naval del Cadetes Almirante Padilla, Cartagena de Indias, Colombia
fYear :
2012
fDate :
9-11 Oct. 2012
Firstpage :
1
Lastpage :
5
Abstract :
This article presents the methodology to reconstruct images of ship hulls in turbid waters from an information gathered to a system composed of video camera, laser line-point and sonar scanning, which were incorporated into an underwater vehicle that has a navigation control. The acquired data is processed by diffuse algorithms that have demonstrated low computational complexity and high efficiency in image reconstruction. We present the results of image reconstruction of ship hulls in low visibility conditions.
Keywords :
fuzzy logic; fuzzy set theory; image reconstruction; image sensors; inspection; optical scanners; path planning; ships; sonar imaging; underwater vehicles; vehicle dynamics; video signal processing; automatic ship hull inspection; diffuse algorithms; fuzzy logic; image reconstruction; laser line-point scanning; low computational; navigation control; sonar scanning; turbid waters; underwater vehicle; video camera; Inspection; Recursive Least Squares; fuzzy logic; profile of pixels;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Applied Imagery Pattern Recognition Workshop (AIPR), 2012 IEEE
Conference_Location :
Washington, DC
ISSN :
1550-5219
Print_ISBN :
978-1-4673-4558-3
Type :
conf
DOI :
10.1109/AIPR.2012.6528214
Filename :
6528214
Link To Document :
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