Automated Visual Inspection of Ship Hull Surfaces Using the Wavelet Transform
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URI: http://hdl.handle.net/10317/5129Compartir
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The work submitted here was carried out as a part of the projects ViSel-TR (ref. TIN2012-39279) and EXPLORE (ref. TIN2009-08572) funded by the Spanish National R&D&I PlanFecha de publicación
2013Editorial
Mathematical Problems in EngineeringCita bibliográfica
Carlos Fernández-Isla, Pedro J. Navarro, and Pedro María Alcover, “Automated Visual Inspection of Ship Hull Surfaces Using the Wavelet Transform,” Mathematical Problems in Engineering, vol. 2013, Article ID 101837, 12 pages, 2013Revisión por pares
SíPalabras clave
MatemáticasMathematics
Buques
Ships
Conservación
Maintenance
Resumen
A new online visual inspection technique is proposed, based on a wavelet reconstruction scheme over images obtained from the hull. This type of visual inspection to detect defects in hull surfaces is commonly carried out at shipyards by human inspectors before the
hull repair task starts. We propose the use of Shannon entropy for automatic selection of the band for image reconstruction which provides a low decomposition level, thus avoiding excessive degradation of the image, allowing more precise defect segmentation.
The proposed method here is capable of on-line assisting to a robotic system to perform grit blasting operations over damage areas of ship hulls. This solution allows a reliable and cost-effective operation for hull grit spot blasting. A prototype of the automated blasting system has been developed and tested in the Spanish NAVANTIA shipyards.
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