Events1st Corrosion and Materials Degradation Web Conference
Published
This submission belongs to the session S6. Atmospheric Corrosion of Materials of the event 1st Corrosion and Materials Degradation Web Conference
Published date
06 May, 2021
Citation
Da-Hai Xia, Atmospheric corrosion detection of field-exposed metallic materials by image recognition, in Proceedings of 1st Corrosion and Materials Degradation Web Conference, 17 May–19 May 2021, MDPI: Basel, Switzerland, doi: 10.3390/CMDWC2021-09887
Share
Email
Facebook
Twitter
LinkedIn

Atmospheric corrosion detection of field-exposed metallic materials by image recognition

image
1. School of Materials Science and Engineering, Tianjin Universy, China
Abstract

Our group has focused on the filed corrosion detection by using image recognition in the past 30 years. Atmospheric corrosion is accompanied by the changes in surface structure, morphology, and composition. These changes can be recorded by a variety of image acquisition devices that export digital images in grayscale or true color to a detector. Information regarding corrosion type and extent can be extracted with image processing methods. Digital image processing systems used to assess material degradation are briefly illustrated, and the algorithms developed to process metallic materials degradation images are described. Future work that will augment the present methods of evaluating material degradation are discussed.

Keywords
Atmospheric corrosion
image recognition
pitting corrosion
Fuzzy K-S entropy
Manuscript
Assessment of hydrogen embrittlement and a model for structural integrity analysis