A New Approach to Aircraft Surface Inspection Based on Directional Energies of Texture

Mumtaz, Muhammad Zubair; Mansoor, Asif; Masood, Hassan

doi:10.1109/icpr.2010.1070

Cited by 10 publications

(6 citation statements)

References 2 publications

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“…These methods are typically included in periodical surveys to assess the need of maintenance operations. In this group, which include vessel hull inspection, we can find algorithms for crack detection on concrete surfaces (Yamaguchi and Hashimoto, 2010), defect detection on bridge structures (Jahanshahi et al, 2009), aircraft surface inspection (Siegel and Gunatilake, 1998;Mumtaz et al, 2010), etc.…”

Section: Vision-based Defect Detection Algorithmsmentioning

confidence: 99%

On the use of robots and vision technologies for the inspection of vessels: A survey on recent advances

Bonnín-Pascual¹,

Ortiz²

2019

Ocean Engineering

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Vessels are widely used for transporting goods around the world. All cargo vessels are affected by two main defective situations, namely cracks and corrosion. To prevent major damage/accidents, intensive inspection schemes must be carried out periodically, identifying the affected plates for a subsequent repair/replacement. These inspections are performed at a great cost due to the arrangements that allow human inspectors to reach any point of the vessel structure while guaranteeing their physical integrity and respecting all the stipulated safety measures. Technological advances can provide alternatives to facilitate the vessel inspection and reduce the associated cost. This paper surveys approaches which can contribute to the reengineering process of vessel visual inspection focusing on two main aspects: robotic platforms which can be used for the visual inspection of vessels, and computer vision algorithms for the detection of cracks and/or corrosion in images. The different approaches found in the literature are reviewed and classified regarding their key features, what allows identifying the main trends which are being applied so far and those which could mean an improvement in the current visual inspection.

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Section: Vision-based Defect Detection Algorithmsmentioning

confidence: 99%

On the use of robots and vision technologies for the inspection of vessels: A survey on recent advances

Bonnín-Pascual¹,

Ortiz²

2019

Ocean Engineering

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“…Within the first category (which would also involve our approach for corrosion detection), one can find a large collection of contributions for automatic vision-based crack detection, e.g., for concrete surfaces see the works by Fujita et al [34], Oulette et al [35], Yamaguchi and Hashimoto [36] and Zhao et al [37], for airplanes see the work by Mumtaz et al [38], etc. However, regarding corrosion, to the best of our knowledge, the number of works which can be found is rather reduced [38,39,40,41,42,43].…”

Section: Background and Related Workmentioning

confidence: 99%

“…However, regarding corrosion, to the best of our knowledge, the number of works which can be found is rather reduced [38,39,40,41,42,43]. First of all, Jahanshahi and Masri [39] make use of colour wavelet-based texture analysis algorithms for detecting corrosion, while Ji et al [40] utilize the watershed transform applied over the gradient of gray-level images, Siegel et al [41] use wavelets for characterizing and detect corrosion texture in airplanes, Xu and Weng [42] adopt an approach based on the fractal properties of corroded surfaces and Zaidan et al [43] also focus on corrosion texture using the standard deviation and the entropy as discriminating features.…”

Section: Background and Related Workmentioning

confidence: 99%

Vision-Based Corrosion Detection Assisted by a Micro-Aerial Vehicle in a Vessel Inspection Application

Ortiz

Bonnín-Pascual

Garcia-Fidalgo

et al. 2016

Sensors

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Vessel maintenance requires periodic visual inspection of the hull in order to detect typical defective situations of steel structures such as, among others, coating breakdown and corrosion. These inspections are typically performed by well-trained surveyors at great cost because of the need for providing access means (e.g., scaffolding and/or cherry pickers) that allow the inspector to be at arm’s reach from the structure under inspection. This paper describes a defect detection approach comprising a micro-aerial vehicle which is used to collect images from the surfaces under inspection, particularly focusing on remote areas where the surveyor has no visual access, and a coating breakdown/corrosion detector based on a three-layer feed-forward artificial neural network. As it is discussed in the paper, the success of the inspection process depends not only on the defect detection software but also on a number of assistance functions provided by the control architecture of the aerial platform, whose aim is to improve picture quality. Both aspects of the work are described along the different sections of the paper, as well as the classification performance attained.

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“…Mumtaz described a mobile inspection unit called the Crown Inspection Mobile Platform [7]. This unit combines contourlet transform and discrete cosine transformation to find the edges of flaws on an aircraft surface.…”

Section: A Development Of Visual Inspectionmentioning

confidence: 99%

A feasibility study of wind turbine blade surface crack detection using an optical inspection method

Zhang

Jackman

2013

2013 International Conference on Renewable Energy Research and Applications (ICRERA)

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-A new image processing technique was investigated to assess its ability to detect surface flaws on an on-tower wind turbine blade (WTB). The method was tested by varying the parameters of the surface flaws as well as the parameters of the method. It was found that detecting and quantifying cracks as small as hair thickness with computer-based optical inspection is feasible and the orientation of a crack was not sensitive to image processing so that the inspection camera does not need to be set up at a specific angle to detect cracks. It was also found that uneven background illumination was significantly reduced by optimizing the threshold value using the Canny method. In addition, the accuracy of quantifying a crack was improved by reducing noise with the intersection of two processed images from Sobel and Canny methods.

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A New Approach to Aircraft Surface Inspection Based on Directional Energies of Texture

Cited by 10 publications

References 2 publications

On the use of robots and vision technologies for the inspection of vessels: A survey on recent advances

On the use of robots and vision technologies for the inspection of vessels: A survey on recent advances

Vision-Based Corrosion Detection Assisted by a Micro-Aerial Vehicle in a Vessel Inspection Application

A feasibility study of wind turbine blade surface crack detection using an optical inspection method

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