Title
On the Evaluation of Texture and Color Features for Nondestructive Corrosion Detection
Abstract
We present a methodology for automatic corrosion detection in digital images of carbon steel storage tanks and pipelines from a petroleum refinery. The database consists of optical digital images taken from equipments exposed to marine atmosphere during their operational life. This new approach focuses on color and texture descriptors to accomplish corroded and noncorroded surface area discrimination. The performance of the proposed corrosion descriptors is evaluated by using Fisher linear discriminant analysis (FLDA). This approach presents two main advantages: No refinery stoppages are required and potential-related catastrophes can be prevented.
Year
DOI
Venue
2010
10.1155/2010/817473
EURASIP J. Adv. Sig. Proc.
Keywords
Field
DocType
Storage Tank, Feature Subset, Metallic Surface, Color Attribute, Corrode Surface
Computer vision,Pipeline transport,Storage tank,Corrosion,Computer science,Carbon steel,Digital image,Refinery,Artificial intelligence,Linear discriminant analysis,Oil refinery
Journal
Volume
Issue
ISSN
2010
1
1687-6180
Citations 
PageRank 
References 
6
0.79
7
Authors
4