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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.

Evaluation of Corrosion Growth on SS304 Based on Textural and Color Features from Image Analysis