| dc.creator |
Perryman, Matthew Christopher |
|
| dc.date |
2010-11-10T09:02:26Z |
|
| dc.date |
2016-10-07T15:45:56Z |
|
| dc.date |
2010-11-10T09:02:26Z |
|
| dc.date |
2016-10-07T15:45:56Z |
|
| dc.date |
2007 |
|
| dc.date.accessioned |
2022-05-26T19:14:10Z |
|
| dc.date.available |
2022-05-26T19:14:10Z |
|
| dc.identifier |
http://hdl.handle.net/10026.2/707 |
|
| dc.identifier.uri |
http://localhost:8080/xmlui/handle/CUHPOERS/211754 |
|
| dc.description |
Part of understanding aquatic ecosystems requires that zooplanktons be studied; achieving this
type of underwater study requires that the traditional two-dimensional (2D) cameras be
upgraded to three-dimensional (3D) cameras to successfully capture the zooplanktons. One such
study of zooplanktons is of Harmfiil Algal Blooms (HAB's) in coastal waters to prevent them
from being consumed due to their toxicity (HAB Buoy project); the study concentrates on the
automated recognition of HAB's so that government scientists can have advanced knowledge of
their abundance.
This thesis describes software whose aims are set by the HAB Buoy project to present confocal
images of zooplankton as a 3D Image (Model), this Model is then to be used by the software to
create multiple images of the Model from different angles for the recognition of these HAB's.
Recognition of objects requires taxonomic information, the software allows for this by
separating and labelling parts of the zooplankton by experts. Transparency in the Model could
also be used by experts for further taxonomic information and is also to be made a feature in the
software.
The software described in the thesis was successful to the point of which a Model could be
created from a stack of confocal images, sectioned, and then unwanted parts deleted,
unfortunately the labelling of these parts, transparency, and images made from different angles
were never successfully achieved. |
|
| dc.description |
School of Computing, Communications and Electronics, HAB Buoy Project |
|
| dc.publisher |
University of Plymouth |
|
| dc.title |
3D CONFOCAL IMAGE ANALYSIS OF MARINE PLANKTON |
|
| dc.type |
Thesis |
|