Advertisement

A System for Automatic Counting the Number of Collembola Individuals on Petri Disk Images

  • André R. S. Marçal
  • Cristina M. R. Caridade
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4142)

Abstract

This paper describes an image processing system developed for automatic counting the number of collembola individuals on petri disks images. The system uses image segmentation and mathematical morphology techniques to identify and count the number of collembolans. The main challenges are the specular reflections at the edges of the circular samples and the foam present in a number of samples. The specular reflections are efficiently identified and removed by performing a two-stage segmentation. The foam is considered to be noise, as it is at cases difficult to discriminate between the foam and the collembola individuals. Morphological image processing tools are used both for noise reduction and for the identification of the collembolans. A total of 38 samples (divided in 3 groups according to their noise level) were tested and the results produced from the automatic system compared to the values available from manual counting. The relative error was on average 5.0% (3.4% for good quality samples, 4.6% for medium quality and 7.5% for poor quality samples).

Keywords

Binary Image Average Relative Error Sample Disk Automatic Counting Greyscale Image 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Luz, T.N., Ribeiro, R., Sousa, J.P.: Avoidance tests with collembola and earthworms as early screening tools for site-specific assessment of polluted soils. Environmental Toxicology and Chemistry 23, 2188–2193 (2004)CrossRefGoogle Scholar
  2. 2.
    Bellinger, P.F., Christiansen, K.A., Janssens, F.: Checklist of the Collembola of the World (1996-2006), http://www.collembola.org
  3. 3.
    Using Matlab, Version 6.5. The MathWorks, Inc. Natick. MA (2002)Google Scholar
  4. 4.
    Gonzalez, R.C., Woods, R.E.: Digital Image Processing. Prentice-Hall, Englewood Cliffs (2002)Google Scholar
  5. 5.
    Gonzalez, R.C., Woods, R.E., Eddins, S.L.: Digital Image Processing using MATLAB. Prentice-Hall, Englewood Cliffs (2004)MATHGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • André R. S. Marçal
    • 1
  • Cristina M. R. Caridade
    • 2
  1. 1.Faculdade de CiênciasUniversidade do PortoPortoPortugal
  2. 2.Instituto Superior de Engenharia de CoimbraCoimbraPortugal

Personalised recommendations