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
fDate :
6/23/1905 12:00:00 AM
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;
Conference_Titel :
Image Processing, 2001. Proceedings. 2001 International Conference on
Conference_Location :
Thessaloniki
Print_ISBN :
0-7803-6725-1
DOI :
10.1109/ICIP.2001.958043
