Journal article Open Access

A novel approach for defect detection on vessel structures using saliency-related features

Francisco Bonnin-Pascual; Alberto Ortiz


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{
  "description": "<p>Seagoing vessels have to undergo regular visual inspections in order to detect defects such as cracks and corrosion&nbsp;before they result into catastrophic consequences. These inspections are currently performed manually by ship&nbsp;surveyors at a great cost, so that any level of assistance during the inspection process by means of e.g. a fleet of&nbsp;robots capable of defect detection would significatively decrease the inspection cost. In this paper, we describe a&nbsp;novel framework for visually detecting the aforementioned defects. This framework is generic and flexible in the&nbsp;sense that it can be easily configured to compute the features that perform better for the inspection at hand.&nbsp;Making use of this framework and inspired by the idea of conspicuity, this work considers contrast and symmetry&nbsp;as features for detecting defects and shows their usefulness for the case of vessels. Three different combination&nbsp;operators are additionally tested in order to merge the information provided by these features and improve the detection performance. Experimental results for different configurations of the detection framework show better&nbsp;classification rates than state of the art methods and prove its usability for images collected by a micro-aerial&nbsp;robotic platform intended for visual inspection.</p>", 
  "license": "https://creativecommons.org/licenses/by/4.0/legalcode", 
  "creator": [
    {
      "affiliation": "University of the Balearic Islands", 
      "@id": "https://orcid.org/0000-0002-8253-7455", 
      "@type": "Person", 
      "name": "Francisco Bonnin-Pascual"
    }, 
    {
      "affiliation": "University of the Balearic Islands", 
      "@id": "https://orcid.org/0000-0002-4215-3764", 
      "@type": "Person", 
      "name": "Alberto Ortiz"
    }
  ], 
  "headline": "A novel approach for defect detection on vessel structures using saliency-related features", 
  "image": "https://zenodo.org/static/img/logos/zenodo-gradient-round.svg", 
  "datePublished": "2018-02-01", 
  "url": "https://zenodo.org/record/4408152", 
  "keywords": [
    "Defect detection", 
    "Vessel inspection", 
    "Corrosion", 
    "Cracks", 
    "Saliency", 
    "Micro-Aerial Vehicle"
  ], 
  "@context": "https://schema.org/", 
  "identifier": "https://doi.org/10.5281/zenodo.4408152", 
  "@id": "https://doi.org/10.5281/zenodo.4408152", 
  "@type": "ScholarlyArticle", 
  "name": "A novel approach for defect detection on vessel structures using saliency-related features"
}
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