Browsing SINTEF Ocean by Subject "Machine learning"
Now showing items 1-2 of 2
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Automated morphometrics on microscopy images of Atlantic cod larvae using Mask R-CNN and classical machine vision techniques
(Peer reviewed; Journal article, 2022)Measurements of morphometrical parameters on i.e., fish larvae are useful for assessing the quality and condition of the specimen in environmental research or optimal growth in the cultivation industry. Manually acquiring ... -
A flow-through imaging system for automated measurement of ichthyoplankton
(Peer reviewed; Journal article, 2022)Microscopic imaging and morphometric measurement of fish embryos and larvae is essential in environmental monitoring of fish populations and to evaluate larvae development in aquaculture. Traditional microscopy methods ...