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Towards on-line quantification of flocs and filaments by image analysis

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Abstract

A fully automatic image analysis method for recognizing flocs and filaments in an activated sludge sample was developed. Five simple shape descriptors, namely the aspect ratio, the roundness, the form factor, the fractal dimension and the reduced radius of gyration, were assessed on their capability to identify flocs and filaments in a binary image.

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References

  • Amaral AL, Baptiste C, Pons MN, Nicolau A, Lima N, Ferreira EC, Mota M, Vivier H (1999) Semi-automated recognition of protozoa by image analysis. Biotechnol. Tech. 13: 111-118.

    Google Scholar 

  • Cenens C, Jenné R, Van Impe J (2001) On the development of a novel segmentation method for image analysis of activated sludge images. In: Proceedings 3rd IWA Conference on Microorganisms in Activated Sludge and Biofilm Processes, June 13-15, Rome, pp. 282-289 (also accepted in Water Sci. Technol.).

  • Dagot C, Pons MN, Casellas M, Guibaud G, Dollet P, Baudu M (2001) Use of image analysis and rheological studies for the control of settleability of filamentous bacteria: application in SBR reactor. Water Sci. Technol. 43: 27-33.

    Google Scholar 

  • da Motta M, Pons MN, Roche N (2001) Automated monitoring of activated sludge in a pilot plant using image analysis. Water Sci. Technol. 43: 91-96.

    Google Scholar 

  • Glasbey CA, Horgan GW (1995) Image Analysis for the Biological Sciences. New York: John Wiley & Sons.

    Google Scholar 

  • Haralick RM, Shapiro LG (1992) Computer and Robot Vision, Vol. 1, Massachusetts: Addison-Wesley Publishing Company.

    Google Scholar 

  • Neter J, Wasserman W, Kutner MH (1990) Applied Linear Statistical Models, 3rd edn. USA: Irwin.

    Google Scholar 

  • Russ JC (1990) Computer Assisted Microscopy: The Measurement and Analysis of Images. New York: Plenum Press.

    Google Scholar 

  • Vanhoutte B, Pons MN, Thomas CR, Louvel L, Vivier H (1995) Characterization of Penicillium chrysogenum physiology in submerged cultures by color and monochrome image analysis. Biotechnol. Bioeng. 48: 1-11.

    Google Scholar 

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Authors and Affiliations

  1. BioTeC – Bioprocess Technology and Control, Katholieke Universiteit Leuven, Kasteelpark Arenberg 22, B-3001, Leuven, Belgium

    R. Jenné, C. Cenens, A.H. Geeraerd & J.F. Van Impe

Authors
  1. R. Jenné
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  2. C. Cenens
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  3. A.H. Geeraerd
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  4. J.F. Van Impe
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Jenné, R., Cenens, C., Geeraerd, A. et al. Towards on-line quantification of flocs and filaments by image analysis. Biotechnology Letters 24, 931–935 (2002). https://doi.org/10.1023/A:1015512712843

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  • DOI: https://doi.org/10.1023/A:1015512712843

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