Automatic image analysis of plankton: future perspectives

In the future, if marine science is to achieve any progress in addressing biological diversity of ocean plankton, then it needs to sponsor development of new technology. One requirement is the development of high-resolution sensors for imaging field-collected andin situspecimens in a non-invasive ma...

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Published in:Marine ecology. Progress series (Halstenbek) 2006-04, Vol.312, p.297-309
Main Authors: Culverhouse, Phil F., Williams, Robert, Benfield, Mark, Flood, Per R., Sell, Anne F., Mazzocchi, Maria Grazia, Buttino, Isabella, Sieracki, Mike
Format: Article
Language:English
Subjects:
Animal and plant ecology
Animal, plant and microbial ecology
AS WE SEE IT
Biological and medical sciences
Biological taxonomies
Fundamental and applied biological sciences. Psychology
Image analysis
Image databases
Imaging
Marine
Microscopy
Oceans
Plankton
Sea water ecosystems
Synecology
Zooplankton
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container_title Marine ecology. Progress series (Halstenbek)
container_volume 312
creator Culverhouse, Phil F.
Williams, Robert
Benfield, Mark
Flood, Per R.
Sell, Anne F.
Mazzocchi, Maria Grazia
Buttino, Isabella
Sieracki, Mike
description In the future, if marine science is to achieve any progress in addressing biological diversity of ocean plankton, then it needs to sponsor development of new technology. One requirement is the development of high-resolution sensors for imaging field-collected andin situspecimens in a non-invasive manner. The rapid automatic categorisation of species must be accompanied by the creation of very large distributed databases in the form of high-resolution 3D rotatable images of species, which could become the standard reference source for automatic identification. These 3D images will serve as classification standards for field applications, and (in adjusted optical quality) as training templates for image analysis systems based on statistical and other pattern-matching processes. This paper sets out the basic argument for such developments and proposes a long-term solution to achieve these aims.
doi_str_mv 10.3354/meps312297
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subjects Animal and plant ecology
Animal, plant and microbial ecology
AS WE SEE IT
Biological and medical sciences
Biological taxonomies
Fundamental and applied biological sciences. Psychology
Image analysis
Image databases
Imaging
Marine
Microscopy
Oceans
Plankton
Sea water ecosystems
Synecology
Zooplankton
title Automatic image analysis of plankton: future perspectives
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