Review-material degradation assessed by digital image processing:Fundamentals,progresses,and challenges
数字图象处理估计的评论材料降级: 基础,进步,和挑战作者机构:Tianjin Key Laboratory of Composite and Functional MaterialsTianjin 300354China School of Materials Science and EngineeringTianjin UniversityTianjin 300354China CNOOC Tianjin Chemical Research&Design Institute Co.LtdTianjin 300131China Department of Chemical and Materials EngineeringUniversity of AlbertaEdmontonAlbertaT6G 1H9Canada
出 版 物:《Journal of Materials Science & Technology》 (材料科学技术(英文版))
年 卷 期:2020年第52卷第18期
页 面:146-162页
核心收录:
学科分类:08[工学] 0805[工学-材料科学与工程(可授工学、理学学位)] 080502[工学-材料学]
基 金:financially supported by the National Natural Science Foundation of China(No.51701140)
主 题:Image processing Material degradation Corrosion Pitting Fuzzy K-S entropy
摘 要:Material degradation is accompanied by the changes in surface structure,morphology,and *** changes can be recorded by a variety of image acquisition devices that export digital images in grayscale or true color to a *** regarding corrosion type and extent can be extracted with image processing *** paper provides a comprehensive review of material degradation assessed by digital image *** image processing systems used to assess material degradation are briefly reviewed,and the algorithms developed to process metallic materials degradation images are *** and electrochemical methods that can be used to support digital image processing results are summarized,and future work that will augment the present methods of evaluating material degradation are discussed.