Open AccessEvaluation of Corrosion Growth on SS304 Based on Textural and Color Features from Image Analysis
Author(s) -
Ramana M. Pidaparti,
Brian Hinderliter,
Darshan Maskey
Publication year - 2013
Publication title -
isrn corrosion
Language(s) - English
Resource type - Journals
ISSN - 2090-8903
DOI - 10.1155/2013/376823
Subject(s) - corrosion , materials science , texture (cosmology) , wavelet , pitting corrosion , wavelet transform , metallurgy , artificial intelligence , image (mathematics) , computer science
ime. The results obtained from the image analysis are presented to illustrate the metrics which best characterize early stage corro sion damage growth behavior. The results obtained indicate that textural features in combination with color features are more effective and may be used for correlating service/failure conditions based on corrosion morphology.
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