An image processing method for morphology characterization and pitting corrosion evaluation

被引：132

作者：

Codaro, EN

Nakazato, RZ

Horovistiz, AL

Ribeiro, LMF

Ribeiro, RB

Hein, LRO

机构：

[1] UNESP, LAIMat, BR-12516410 Sao Paulo, Brazil

[2] UNESP, Grp Eletroquim & Corrosao, BR-12516410 Sao Paulo, Brazil

来源：

MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING | 2002年 / 334卷 / 1-2期

基金：

巴西圣保罗研究基金会;

关键词：

pitting corrosion; metallography; image processing and analysis; shape descriptors;

D O I：

10.1016/S0921-5093(01)01892-5

中图分类号：

TB3 [工程材料学];

学科分类号：

0805 [材料科学与工程]; 080502 [材料学];

摘要：

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. (C) 2002 Elsevier Science B.V. All rights reserved.

引用

页码：298 / 306

页数：9

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