A morphological fusion algorithm for optical detection and quantification of decay patterns on stone surfaces

Kapsalas, P; Maravelaki-Kalaitzaki, P; Zervakis, M; Delegou, ET; Moropoulou, A

dc.contributor.author	Kapsalas, P	en
dc.contributor.author	Maravelaki-Kalaitzaki, P	en
dc.contributor.author	Zervakis, M	en
dc.contributor.author	Delegou, ET	en
dc.contributor.author	Moropoulou, A	en
dc.date.accessioned	2014-03-01T01:27:42Z
dc.date.available	2014-03-01T01:27:42Z
dc.date.issued	2008	en
dc.identifier.issn	0950-0618	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/18551
dc.subject	Blob analysis	en
dc.subject	Chemical cleaning evaluation	en
dc.subject	Morphological operations	en
dc.subject	Optical inspection	en
dc.subject	Statistical evaluation	en
dc.subject	Stone decay diagnosis	en
dc.subject.classification	Construction & Building Technology	en
dc.subject.classification	Materials Science, Multidisciplinary	en
dc.subject.other	Algorithms	en
dc.subject.other	Chemical cleaning	en
dc.subject.other	Deterioration	en
dc.subject.other	Marble	en
dc.subject.other	Morphology	en
dc.subject.other	Nondestructive examination	en
dc.subject.other	Black crust formation	en
dc.subject.other	Blob analysis	en
dc.subject.other	Decay patterns	en
dc.subject.other	Gaussians filter	en
dc.subject.other	Optical detection	en
dc.subject.other	Optical inspection	en
dc.subject.other	Statistical evaluation	en
dc.subject.other	Stone decay diagnosis	en
dc.subject.other	Stone surfaces	en
dc.subject.other	Building materials	en
dc.title	A morphological fusion algorithm for optical detection and quantification of decay patterns on stone surfaces	en
heal.type	journalArticle	en
heal.identifier.primary	10.1016/j.conbuildmat.2006.08.024	en
heal.identifier.secondary	http://dx.doi.org/10.1016/j.conbuildmat.2006.08.024	en
heal.language	English	en
heal.publicationDate	2008	en
heal.abstract	The quantification of black crust formation on exposed stone has been carried out in this work with the aid of non-destructive analytical techniques. The proposed non-destructive Morphologically Fused Detection (MFD) approach, quantifies the deterioration effects encountered on marble surfaces by providing the number, location and shape of deterioration spots. According to this approach, a weighted difference of Gaussians filter determines the exact locations of deterioration patterns, a morphological detector provides the shape of such patterns and finally a conditional thickening operator combines location and shape information from the previous stages. The detected decay areas are segmented and distinguished into white and black spots according to their chemical composition. Besides applications in assessing deterioration and monitoring the decay rate of exposed stone with time, MFD can be further employed for evaluating the efficiency of cleaning methods. The algorithm is tested on a large set of images depicting a variety of degradation effects. The derived results are in accordance with assessments obtained by chemical analyses. (C) 2006 Elsevier Ltd. All rights reserved.	en
heal.publisher	ELSEVIER SCI LTD	en
heal.journalName	Construction and Building Materials	en
dc.identifier.doi	10.1016/j.conbuildmat.2006.08.024	en
dc.identifier.isi	ISI:000253117200012	en
dc.identifier.volume	22	en
dc.identifier.issue	3	en
dc.identifier.spage	228	en
dc.identifier.epage	238	en