DocumentCode
1670580
Title
(Semi-)automatic recognition of microorganisms in water
Author
Rodenacker, Karsten ; Gais, Peter ; Jutting, Uta ; Hense, Burkhard A.
Author_Institution
Inst. of Biomathematic & Biometry, GSF-National Res. Centre for Environ. & Health, Neuherberg, Germany
Volume
3
fYear
2001
fDate
6/23/1905 12:00:00 AM
Firstpage
30
Abstract
The structure of biocenosis is a powerful indicator for the condition of and changes in the quality of the ecosystem. Identification and quantification of populations of microorganisms enables an assessment of the effect of any stressor on it. A method and some results are presented using automatic image acquisition, evaluation and recognition to ease the time consuming part of manual organism recognition and counting at the microscope
Keywords
ecology; image classification; microorganisms; optical microscopy; automatic image acquisition; automatic image evaluation; automatic image recognition; biocenosis; ecosystem quality; microorganism identification; microorganism population quantification; microorganism recognition; microscopy; organism counting; water; Chemicals; Ecosystems; Endocrine system; Image recognition; Marine vegetation; Microorganisms; Microscopy; Monitoring; Organisms; Pathology;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 2001. Proceedings. 2001 International Conference on
Conference_Location
Thessaloniki
Print_ISBN
0-7803-6725-1
Type
conf
DOI
10.1109/ICIP.2001.958043
Filename
958043
Link To Document