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

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dc.contributor.authorJenné, Rika
dc.contributor.authorBanadda, Ephraim Noble
dc.contributor.authorSmets, Ilse
dc.contributor.authorDeurinck, Jeroen
dc.contributor.authorImpe, Jan Van
dc.date.accessioned2022-03-02T13:57:21Z
dc.date.available2022-03-02T13:57:21Z
dc.date.issued2007
dc.description.abstractThis 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.en_US
dc.identifier.citationJenné, R., Banadda, E. N., Smets, I., Deurinck, J., & Van Impe, J. (2007). Detection of filamentous bulking problems: developing an image analysis system for sludge composition monitoring. Microscopy and Microanalysis, 13(1), 36-41.https://doi.org/10.1017/S1431927607070092en_US
dc.identifier.urihttps://nru.uncst.go.ug/xmlui/handle/123456789/2396
dc.language.isoenen_US
dc.publisherMicroscopy and Microanalysisen_US
dc.subjectactivated sludge characterization, filamentous bulking, image analysis, settleability monitoringen_US
dc.titleDetection of Filamentous Bulking Problems: Developing an Image Analysis System for Sludge Composition Monitoringen_US
dc.typeArticleen_US
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