On the Evaluation of Texture and Color Features for Nondestructive Corrosion Detection. (7th July 2010)

• Record Type: Journal Article
• Authors: Medeiros Medeiros, Fátima N. S. Fátima N. S.; Ramalho Ramalho, Geraldo L. B. Geraldo L. B.; Bento Bento, Mariana P. Mariana P.; Medeiros Medeiros, Luiz C. L. Luiz C. L.
• Other Names: Rebello Rebello João Marcos A. João Marcos A. Academic Editor.
• Is Part Of: EURASIP journal on advances in signal processing. Volume 2010(2010)
• Publication Date: 2010-07-07
• Subjects: Signal processing -- Periodicals; Traitement du signal; Signal processing; Periodicals; 621.3822
• DOI: 10.1155/2010/817473
• Languages: English
• ISSNs: 1687-6172

Abstract

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.