Abstract
A set of image processing approaches are proposed for processing digital holographic images of plankton. The images are segmented to produce regions of interest (ROI) of plankton, and then the shape description of plankton is normalized which is invariant under the transformations of translation, scaling, skewing and rotation. Also break points of the normalized shape contour curve are detected and then the curve is presented compactly by a polygon based on those points.
| Original language | English |
|---|---|
| Title of host publication | OCEANS 2016 - Shanghai |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781467397247 |
| DOIs | |
| Publication status | Published - 3 Jun 2016 |
| Event | OCEANS 2016 - Shanghai - Shanghai, China Duration: 10 Apr 2016 → 13 Apr 2016 |
Conference
| Conference | OCEANS 2016 - Shanghai |
|---|---|
| Country/Territory | China |
| City | Shanghai |
| Period | 10/04/16 → 13/04/16 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 14 Life Below Water
Keywords
- contour tracing
- curve normalization
- image processing
- image segmentation
- subsea digital holography
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