Features for the classification of marine microfossils

  • Siegfried Brechner
  • Frank Ade
Poster Papers
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1451)

Abstract

Features for a new application in pattern recognition are presented. The objects to be classified are coccoliths (marine microfossils). Since the objects differ both in their outline and in their internal structure the features developed take into consideration both kinds of variability.

The features concerning the internal structure are computed on the greyvalue images produced by a scanning electron microscope. These features include measures of both of the angular variation, using the autocorrelation function, and of the radial variation within the objects by an approximation with Legendre polynomials.

The features concerning solely the shape of the objects include the content of long and short straight segments of the outline, and measures based upon ellipse fits and the smallest bounding rectangles to the outlines. In addition, moments are calculated on the objects' binary filled interior.

Keywords

statistical pattern recognition feature extraction marine microfossils coccoliths 

References

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    R.O. Duda and P.E. Hart: Pattern Classification and Scene Analysis, John Wiley & Sons, 1973Google Scholar
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    The KBVision System: Task Reference Manual, Amerinex Applied Imaging, Inc., 409 Main Street, Amherst, MA 01002, edition 3.2, December 1996Google Scholar
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    M. R. Teague, Image Analysis via the general theory of moments, J. Opt. Soc. Am., August 1979, vol. 70, no. 8, 920–930Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1998

Authors and Affiliations

  • Siegfried Brechner
    • 1
  • Frank Ade
    • 1
  1. 1.ETH ZürichCommunication Technology Lab, Image Science Group, ETZ F 85ZürichSwitzerland

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