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Detection of Filamentous Bulking Problems: Developing an Image Analysis System for Sludge Composition Monitoring

Published online by Cambridge University Press:  18 January 2007

Rika Jenné
Affiliation:
BioTeC-Bioprocess Technology and Control, Katholieke Universiteit Leuven, Department of Chemical Engineering, W. de Croylaan 46, B-3001 Leuven, Belgium
Ephraim Noble Banadda
Affiliation:
BioTeC-Bioprocess Technology and Control, Katholieke Universiteit Leuven, Department of Chemical Engineering, W. de Croylaan 46, B-3001 Leuven, Belgium
Ilse Smets
Affiliation:
BioTeC-Bioprocess Technology and Control, Katholieke Universiteit Leuven, Department of Chemical Engineering, W. de Croylaan 46, B-3001 Leuven, Belgium
Jeroen Deurinck
Affiliation:
BioTeC-Bioprocess Technology and Control, Katholieke Universiteit Leuven, Department of Chemical Engineering, W. de Croylaan 46, B-3001 Leuven, Belgium
Jan Van Impe
Affiliation:
BioTeC-Bioprocess Technology and Control, Katholieke Universiteit Leuven, Department of Chemical Engineering, W. de Croylaan 46, B-3001 Leuven, Belgium
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Abstract

This article describes a fully automatic image analysis procedure for fast and reliable characterization of the activated sludge composition, that is, the floc and filament features. The algorithms developed for each of the analysis steps, that is, segmentation, object recognition, and characterization, are described in detail. Although the application range of the recognition method is a priori expanded by introducing a number of control parameters, the procedure proves to be intrinsically robust as it produces satisfactory results for a fixed set of parameter values for a wide variety of image types.

Type
Research Article
Copyright
2007 Microscopy Society of America

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References

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