Fragilariopsis kerguelensis images from sediment core PS1768-8 ...
Background: Light microscopic analysis of diatom frustules is widely used both in basic and applied research, notably taxonomy, morphometrics, water quality monitoring and paleo-environmental studies. In these applications, usually large numbers of frustules need to be identified and / or measured....
| Main Authors: | , , |
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| Format: | Dataset |
| Language: | English |
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PANGAEA
2014
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| Subjects: | |
| Online Access: | https://dx.doi.org/10.1594/pangaea.833665 https://doi.pangaea.de/10.1594/PANGAEA.833665 |
| Summary: | Background: Light microscopic analysis of diatom frustules is widely used both in basic and applied research, notably taxonomy, morphometrics, water quality monitoring and paleo-environmental studies. In these applications, usually large numbers of frustules need to be identified and / or measured. Although there is a need for automation in these applications, and image processing and analysis methods supporting these tasks have previously been developed, they did not become widespread in diatom analysis. While methodological reports for a wide variety of methods for image segmentation, diatom identification and feature extraction are available, no single implementation combining a subset of these into a readily applicable workflow accessible to diatomists exists.Results: The newly developed tool SHERPA offers a versatile image processing workflow focused on the identification and measurement of object outlines, handling all steps from image segmentation over object identification to feature extraction, and ... : Extended focus depth light microscopic images of valves of the diatom Fragilariopsis kerguelensis from sediment core PS1768-8 at 20 cm depth. These images were used as a test data set for the diatom image analysis tool SHERPA (SHape Recognition, Processing and Analysis, http://www.awi.de/en/science/biosciences/polar-biological-oceanography/main-research-focus/hustedt-diatom-study-centre/sherpa.html). ... |
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