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

被引：6

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

共 35 条

[21] SURFACE SHAPE AND CURVATURE SCALES [J].

KOENDERINK, JJ ;

VANDOORN, AJ .

IMAGE AND VISION COMPUTING, 1992, 10 (08) :557-564

[22] Application of steel thin film electrical resistance sensor for in situ corrosion monitoring [J].

Li, SeonYeob ;

Kim, Young-Geun ;

Jung, Sungwon ;

Song, Hong-Seok ;

Lee, Seong-Min .

SENSORS AND ACTUATORS B-CHEMICAL, 2007, 120 (02) :368-377

[23] A texture analysis approach to corrosion image classification [J].

Livens, S ;

Scheunders, P ;

VandeWouwer, G ;

VanDyck, D ;

Smets, H ;

Winkelmans, J ;

Bogaerts, W .

MICROSCOPY MICROANALYSIS MICROSTRUCTURES, 1996, 7 (02) :143-152

[24]

Mansfeld F., 1976, CORROSION SCI TECHNO, VVI., P163

[25] Corrosion monitoring [J].

McLaughlin, K .

ANTI-CORROSION METHODS AND MATERIALS, 2000, 47 (01) :26-29

[26] On the Evaluation of Texture and Color Features for Nondestructive Corrosion Detection [J].

Medeiros, Fatima N. S. ;

Ramalho, Geraldo L. B. ;

Bento, Mariana P. ;

Medeiros, Luiz C. L. .

EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING, 2010,

[27] Wavelet processing for image de-noising and edge detection in automatic corrosion detection algorithms used in shipboard ballast tank video inspection systems [J].

Nelson, BN ;

Slebodnick, P ;

Lemiuex, EJ ;

Singleton, W ;

Krupa, M ;

Lucas, K ;

Thomas, D ;

Seelinger, A .

WAVELET APPLICATIONS VIII, 2001, 4391 :134-145

[28] Image Processing-Based Detection of Pipe Corrosion Using Texture Analysis and Metaheuristic-Optimized Machine Learning Approach [J].

Nhat-Duc Hoang ;

Van-Duc Tran .

COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE, 2019, 2019

[29]

O'Byrne M., 2012, P BCRI2012 BRIDG CON

[30] Vision-Based Corrosion Detection Assisted by a Micro-Aerial Vehicle in a Vessel Inspection Application [J].

Ortiz, Alberto ;

Bonnin-Pascual, Francisco ;

Garcia-Fidalgo, Emilio ;

Company-Corcoles, Joan P. .

SENSORS, 2016, 16 (12)

← 1 2 3 4 →