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Marine biofouling resistance rating using image analysis / Morten Pedersen in JOURNAL OF COATINGS TECHNOLOGY AND RESEARCH, Vol. 19, N° 4 (07/2022)
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Titre : Marine biofouling resistance rating using image analysis Type de document : texte imprimé Auteurs : Morten Pedersen, Auteur ; Claus Erik Weinell, Auteur ; Burak Ulusoy, Auteur ; Kim Dam-Johansen, Auteur Année de publication : 2022 Article en page(s) : p. 1127-1138 Note générale : Bibliogr. Langues : Américain (ame) Catégories : Analyse d'image L'analyse d'image est la reconnaissance des éléments contenus dans l'image. Il ne faut pas confondre analyse (décomposition en éléments) et traitement (action sur les composantes) de l'image.
Marines (peinture)
Résistance à la salissure
Revêtements antisalissures
Salissures biologiquesIndex. décimale : 667.9 Revêtements et enduits Résumé : Biofouling on ship hulls can cause increased fuel consumption and the global spread of nonindigenous species. The shipping industry utilizes fouling control coatings (FCC) to prevent biofouling from occurring on the ship hull. The evaluation standards for the performance of FCC are based on manual inspections, which unavoidably induce some degree of subjectivity. A standardized biofouling recognition model using image analysis would provide a more objective basis for the evaluation of FCC. For this purpose, several coated panels were immersed in the ocean at CoaST Maritime Test Centre for an exposure period of six weeks, whereafter, the panels were fully covered with biofouling. The program ilastik was then successfully used to train a pixel classification model, which could provide a simple segmentation of the different biofouling categories detected on a coated surface. From the simple segmentation, a coverage percentage of biofouling was determined. The percentages can stand alone to provide information on the degree of biofouling or be used in combination with the guidelines from the European Chemicals Agency to calculate a fouling resistance rating (FRR). The FRR obtained from the model was compared with FRR values obtained from the manual evaluation of the panels. Note de contenu : - METHOD : Exposure procedure - Fouling resistance rating (FRR) - Image analysis procedure
- RESULTS : Deviation in manual evaluations - Pixel classification model - Comparison of manual and model FRR
- DISCUSSION : Challenges related to panel imaging - Pixel classification model - Time efficiency - ECHA guideline - Future work
- Table 1 : The weighted ratings, used to determine the FRR, for the different categories of biofouling related to the coverage intervals. A modification of the tables from ECHA
- Table 2 : Summary of the FRR for all the panels achieved from the model and the manual evaluation. The ratings in the brackets show the manual evaluationDOI : https://doi.org/10.1007/s11998-021-00612-2 En ligne : https://link.springer.com/content/pdf/10.1007/s11998-022-00612-2.pdf Format de la ressource électronique : Permalink : https://e-campus.itech.fr/pmb/opac_css/index.php?lvl=notice_display&id=38041
in JOURNAL OF COATINGS TECHNOLOGY AND RESEARCH > Vol. 19, N° 4 (07/2022) . - p. 1127-1138[article]Réservation
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