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A vision-based system for robotic inspection of marine vessels
Ist Teil von
Signal, image and video processing, 2018-03, Vol.12 (3), p.471-478
Ort / Verlag
London: Springer London
Erscheinungsjahr
2018
Link zum Volltext
Quelle
Alma/SFX Local Collection
Beschreibungen/Notizen
This paper presents a novel intelligent system for the automatic visual inspection of vessels consisting of three processing levels: (a) data acquisition: images are collected using a magnetic climbing robot equipped with a low-cost monocular camera for hull inspection; (b) feature extraction: all the images are characterized by 12 features consisting of color moments in each channel of the HSV space; (c) classification: a novel tool, based on an ensemble of classifiers, is proposed to classify sub-images as rust or non-rust. This paper provides a helpful roadmap to guide future research on the detection of rusting of metals using image processing.