Morphological analysis and classification of types of surface corrosion damage by digital image processing

Choi, Kyoung-Ho; Kim, S.S.

doi:10.1016/j.corsci.2004.05.007

Cited by 112 publications

(43 citation statements)

References 13 publications

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“…Choi and Kim in Ref. [11] proposed a method of detecting corroded areas on aerospace materials and classifying these areas according to their characteristics. A similar study is also reported in Ref.…”

Section: Introductionmentioning

confidence: 99%

Optical inspection for quantification of decay on stone surfaces

Kapsalas

Maravelaki-Kalaitzaki

Zervakis

et al. 2007

NDT & E International

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This paper examines a novel approach of corrosion damage analysis based on image processing for quantitative and qualitative evaluation of degradation effects on stone surfaces. This methodology can be applied in situ in association with a variety of nondestructive monitoring schemes, and on images acquired from several imaging modalities, capturing from micro-to macro-scale characteristics. Our analysis methodology was evaluated on three non-destructive monitoring techniques of cleaned and not cleaned stone surfaces, namely on digital camera, reflectography and fiber optic microscope images. Further to validating the potential of the various imaging modalities, the paper also assesses the corrosion rate and the efficiency of the recruited cleaning methods. The derived results are in accordance with chemical analyses revealing the deterioration patterns of the studied surfaces. r

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Section: Introductionmentioning

confidence: 99%

Optical inspection for quantification of decay on stone surfaces

Kapsalas

Maravelaki-Kalaitzaki

Zervakis

et al. 2007

NDT & E International

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“…The following step, however, proposed rust detection by various rust types and levels, which all emphasised different algorithms, then the area of rust is then calculated to determine the degree of rust spread, and finally, a solution is proposed in the preferred maintenance to carry out. On the outer surface of pipes and structures, [9], [10] utilised statistic measurements of the picture pixels in quantifying pitting while [11] corrosion detection was based on the morphology of the surface such as colour, shape surface roughness, etc. Medeiros [12] also proposed a method based on describing the surface texture of the material obtained from the co-occurrence matrix and colour.…”

Section: Related Workmentioning

confidence: 99%

Robotic Model for Unmanned Crack and Corrosion Inspection

Oyekola¹,

Mohamed*²,

Pumwa³

2019

IJITEE

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After prolonged usage of materials, the formation of cracks and corrosion initiates due to stress, loading condition, the environment of operation, etc. and this affects the structural integrity of structures. Periodic inspection of structures is usually planned, especially in industries where the impact of failure could be devastating, such as oil and gas pipelines, storage tanks, vessels, and airplanes, etc. which are just a few amongst others. This inspection is often aimed at detecting cracks and corrosion of internal and external components using several forms of non-destructive testing mechanism usually performed by a specialist at a high rate. To reduce the cost of inspection as well as downtime due to inspections and maintenance, deployments of mobile robots with fault tracking and identification purpose are steadily increasing. This paper, therefore, details the implementation of an image processing technique using MATLAB to identify defects of structural elements.

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“…This process includes five main steps: (1) taking photos of the structure using a digital camera, (2) preparing the images before the main analysis, (3) selecting the part of the picture to be analyzed, (4) extracting differences by comparing the images, and (5) interpreting the results from the previous step and detecting the flaws Huang, et al, 2009). The efficiency of the method in detection of different flaws like cracks (Abdel-Qader & Kelly, 2003;Hutchinson & Chen, 2006;Yamaguchi & Hashimoto, 2010;Subirats, et al, 2006;Zou, et al, 2012), corrosions (Choi & Kim, 2005;Lee, et al, 2006) or even online monitoring of cable bridges (Ho, et al, 2013;Fukuda, et al, 2013) has been proven by various studies.…”

Section: Acoustic Moment Methodsmentioning

confidence: 99%

A Review Paper on Looseness Detection Methods in Bolted Structures

Nikravesh

Goudarzi

2017

Lat. Am. j. solids struct.

116

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Bolted structures are widely utilized in industrial structures and equipment due to the numerous advantages they possess. However, the use of bolts in these structures by itself can cause considerable flaws or damages. One of the major reasons of flaw in such structures is looseness. Since the looseness is initiated with a reduction in the axial force, measurement and estimation of this force can contribute to a healthy performance of the structure. The methods used to measure axial force of bolts are divided into two: those which measure or estimate the force directly and those which, by controlling physical parameters, do this indirectly. Ba-sed on this categorization, this paper examines over 16 methods used for evaluation of axial force of bolted structures, and presents their theoretical bases, drawbacks and advantages, with the litera-ture on each method being discussed separately. Finally, the met-hods are compared and the most important criteria in selecting the methods are introduced.

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Morphological analysis and classification of types of surface corrosion damage by digital image processing

Cited by 112 publications

References 13 publications

Optical inspection for quantification of decay on stone surfaces

Optical inspection for quantification of decay on stone surfaces

Robotic Model for Unmanned Crack and Corrosion Inspection

A Review Paper on Looseness Detection Methods in Bolted Structures

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