Use this url to cite publication: https://hdl.handle.net/20.500.14172/25562
Categorizing cells in phytoplankton images
Type of publication
Straipsnis recenzuojamoje užsienio tarptautinės konferencijos medžiagoje / Article in peer-reviewed foreign international conference proceedings (P1d)
Type of document
type::text::conference output::conference proceedings::conference paper
Author(s)
| Author | Affiliation | |||
|---|---|---|---|---|
Gelžinis, Adas | ||||
Title
Categorizing cells in phytoplankton images
Publisher
Athens : WSEAS Press
Date Issued
| Date | Start Page | End Page |
|---|---|---|
2011 | 82 | 87 |
Is part of
Recent Advances in Signal Processing, Coputational Geometry and Systems Theory : proceedings of the 11th WSEAS International Conference on Signal Processing, Computational Geometry and Artificial Vision (ISCGAV'11), proceedings of the 11th WSEAS International Conference on Systems Theory and SCientific Computation (ISTASC'11) : August 23-25, 2011, Florence, Italy
Abstract (en)
This article is cincerned with detection of invasive species - Prorocentrum minimum (p. minimum) - in phytoplankton images. The species is known to cause harmful blooms in many estuarine and coastal environments. A new technique, combining phase congruency - based detection of circular objects in images, stochastic optimization, image segmentation, and SVM and random forest - based classification of objects was developed to solve the task. [...]
ISBN (of the container)
9781618040275
eLABa
3154800
Coverage Spatial
Graikija / Greece (GR)
Language
Anglų / English (en)
Bibliographic Details
16
Owning collection