Software based marine biofouling resistance rating

The evaluation standards for the performance of fouling control coatings are based on manual inspections, which unavoidably induce some degree of subjectivity. Scientists have now peoposed a standardised biofouling recognition mode.

A combination of digital graphics and the sea as a symbolic image.
The open source software program ilastik was used to train a pixel classification model Image source: ArtTower - Pixabay (symbol image).

Biofouling on ship hulls can cause increased fuel consumption and the global spread of nonindigenous species. The shipping industry utilises 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 standardised 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.

Biofouling categories

The open source software 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.

The study has been published in Journal of Coatings Technology and Research, Volume 19, July 2022.

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