Qualitative Comparison of 2D and 3D Atmospheric Corrosion Detection Methods

被引：7

作者：

De Kerf, Thomas ^{[1
]}

Hasheminejad, Navid ^{[2
]}

Blom, Johan ^{[2
]}

Vanlanduit, Steve ^{[1
]}

机构：

[1] Univ Antwerp, Fac Appl Engn, Invilab Res Grp, B-2020 Antwerp, Belgium

[2] Univ Antwerp, Fac Appl Engn, EMIB Res Grp, B-2020 Antwerp, Belgium

来源：

MATERIALS | 2021年 / 14卷 / 13期

关键词：

corrosion; confocal laser scanning microscope; image segmentation; TEXTURE ANALYSIS; IMAGE; DAMAGE;

D O I：

10.3390/ma14133621

中图分类号：

O64 [物理化学（理论化学）、化学物理学];

学科分类号：

070304 ; 081704 ;

摘要：

In this article, we report the use of a Confocal Laser Scanning Microscope (CLSM) to apply a qualitative assessment of atmospheric corrosion on steel samples. From the CLSM, we obtain high-resolution images, together with a 3D heightmap. The performance of four different segmentation algorithms that use the high-resolution images as input is qualitatively assessed and discussed. A novel 3D segmentation algorithm based on the shape index is presented and compared to the 2D segmentation algorithms. From this analysis, we conclude that there is a significant difference in performance between the 2D segmentation algorithms and that the 3D method can be an added value to the detection of corrosion.

引用

页数：12

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