An image processing method for morphology characterization and pitting corrosion evaluation

A digital image processing and analysis method has been developed to classify shape and evaluate size and morphology parameters of corrosion pits. This method seems to be effective to analyze surfaces with low or high degree of pitting formation. Theoretical geometry data have been compared against...

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Bibliographic Details
Published in:	Materials science & engineering. A, Structural materials : properties, microstructure and processing Vol. 334; no. 1; pp. 298 - 306
Main Authors:	Codaro, E.N, Nakazato, R.Z, Horovistiz, A.L, Ribeiro, L.M.F, Ribeiro, R.B, Hein, L.R.O
Format:	Journal Article
Language:	English
Published:	Amsterdam Elsevier B.V 01-09-2002 Elsevier
Subjects:	Applied sciences Corrosion Corrosion mechanisms Exact sciences and technology Image processing and analysis Metallography Metals. Metallurgy Pitting corrosion Shape descriptors Metallography Image processing and analysis Shape descriptors Pitting corrosion Image analysis Aluminium base alloys Image processing Corrosion test Digital image Alloy-Ti90Al6V4 Experimental study Microstructure Titanium base alloys
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Summary:	A digital image processing and analysis method has been developed to classify shape and evaluate size and morphology parameters of corrosion pits. This method seems to be effective to analyze surfaces with low or high degree of pitting formation. Theoretical geometry data have been compared against experimental data obtained for titanium and aluminum alloys subjected to different corrosion tests.
Bibliography:	ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23
ISSN:	0921-5093 1873-4936
DOI:	10.1016/S0921-5093(01)01892-5