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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{
  "publisher": "Zenodo", 
  "DOI": "10.5281/zenodo.4408152", 
  "container_title": "Ocean Engineering", 
  "title": "A novel approach for defect detection on vessel structures using saliency-related features", 
  "issued": {
    "date-parts": [
      [
        2018, 
        2, 
        1
      ]
    ]
  }, 
  "abstract": "<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>", 
  "author": [
    {
      "family": "Francisco Bonnin-Pascual"
    }, 
    {
      "family": "Alberto Ortiz"
    }
  ], 
  "page": "397-408", 
  "volume": "149", 
  "note": "This is a preprint version of publication with DOI: https://doi.org/10.1016/j.oceaneng.2017.08.024. This work is partially supported by FEDER funding, by project nr. AAEE50/2015 (Direccio General d'Innovacio i Recerca, Govern de les Illes Balears).", 
  "type": "article-journal", 
  "issue": "February", 
  "id": "4408152"
}
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