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