DocumentCode
1942797
Title
Automatic In Situ Identification of Plankton
Author
Blaschko, Matthew B. ; Holness, G. ; Mattar, M.A. ; Lisin, D. ; Utgoff, P.E. ; Hanson, A.R. ; Schultz, H. ; Riseman, E.M.
Author_Institution
Dept. of Comput. Sci., Univ. of Massachusetts, Amherst, MA
Volume
1
fYear
2005
fDate
5-7 Jan. 2005
Firstpage
79
Lastpage
86
Abstract
Earth´s oceans are a soup of living micro-organisms known as plankton. As the foundation of the food chain for marine life, plankton are also an integral component of the global carbon cycle which regulates the planet´s temperature. In this paper, we present a technique for automatic identification of plankton using a variety of features and classification methods including ensembles. The images were obtained in situ by an instrument known as the flow cytometer and microscope (FlowCAM), that detects particles from a stream of water siphoned directly from the ocean. The images are of necessity of limited resolution, making their identification a rather difficult challenge. We expect that upon completion, our system will become a useful tool for marine biologists to assess the health of the world´s oceans.
Keywords
biological techniques; biology computing; cellular biophysics; image classification; microorganisms; ensemble; flow cytometer; flow microscope; image classification; marine biologists; microorganisms; oceans; planktons; Chemical industry; Computer science; Image resolution; Instruments; Laboratories; Marine vegetation; Microscopy; Ocean temperature; Organisms; Streaming media;
fLanguage
English
Publisher
ieee
Conference_Titel
Application of Computer Vision, 2005. WACV/MOTIONS '05 Volume 1. Seventh IEEE Workshops on
Conference_Location
Breckenridge, CO
Print_ISBN
0-7695-2271-8
Type
conf
DOI
10.1109/ACVMOT.2005.29
Filename
4129463
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