A vision-based system for robotic inspection of marine vessels View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2018-03

AUTHORS

Rosalia Maglietta, Annalisa Milella, Massimo Caccia, Gabriele Bruzzone

ABSTRACT

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. More... »

PAGES

471-478

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s11760-017-1181-9

DOI

http://dx.doi.org/10.1007/s11760-017-1181-9

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1091907827


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