Digital system for detecting, classifying, and fast retrieving corrosion generated defects

Kyvelidis, ST; Lykouropoulos, L; Kouloumbi, N

dc.contributor.author	Kyvelidis, ST	en
dc.contributor.author	Lykouropoulos, L	en
dc.contributor.author	Kouloumbi, N	en
dc.date.accessioned	2014-03-01T01:16:25Z
dc.date.available	2014-03-01T01:16:25Z
dc.date.issued	2001	en
dc.identifier.issn	0361-8773	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/14039
dc.subject	Automatic Detection	en
dc.subject	Content Based Retrieval	en
dc.subject	Decision Making	en
dc.subject	Defect Detection	en
dc.subject	Digital Filter	en
dc.subject	Digital Image	en
dc.subject	Digital Image Processing	en
dc.subject	Digital Systems	en
dc.subject	Image Processing Techniques	en
dc.subject	Query By Example	en
dc.subject	Texture Analysis	en
dc.subject.classification	Chemistry, Applied	en
dc.subject.classification	Materials Science, Coatings & Films	en
dc.subject.other	Computer applications	en
dc.subject.other	Defects	en
dc.subject.other	Degradation	en
dc.subject.other	Surface structure	en
dc.subject.other	Corrosion generated defect	en
dc.subject.other	Digital defect detection system	en
dc.subject.other	Protective coatings	en
dc.title	Digital system for detecting, classifying, and fast retrieving corrosion generated defects	en
heal.type	journalArticle	en
heal.identifier.primary	10.1007/BF02730033	en
heal.identifier.secondary	http://dx.doi.org/10.1007/BF02730033	en
heal.language	English	en
heal.publicationDate	2001	en
heal.abstract	The in-situ assessment of the degradation of a coating system is often difficult, especially in cases such as underwater piping systems. Furthermore, the results of the optical inspection are qualitative and subjective. The use of digital image processing and storing of corrosion images in databases can eliminate such problems and enhance the assessment of the coating degradation characteristics. Digital defect detection systems have been used in the industrial domain for the last 20 years to automatically detect and classify defects on various surfaces, such as wood, steel, and textiles, using image processing techniques and decision-making theory. The proposed system processes digitized images of corroded surfaces by applying similar technologies (digital filters, texture analysis, segmentation techniques, and fuzzy decision algorithms) to automatically identify and classify corrosion generated defects, such as blisters, rust, etc. Furthermore, it employs state-of-the-art database techniques specialized for image content (query by example, content-based retrieval) to effectively store and retrieve these images according to their specific features.	en
heal.publisher	FEDERATION SOC COATING TECH	en
heal.journalName	Journal of Coatings Technology	en
dc.identifier.doi	10.1007/BF02730033	en
dc.identifier.isi	ISI:000168145100016	en
dc.identifier.volume	73	en
dc.identifier.issue	915	en
dc.identifier.spage	67	en
dc.identifier.epage	73	en