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Features for the Classification of Marine Microfossils

S. Brechner and F. Ade
Advances in Pattern Recognition: Joint IAPR International Workshops SSPR'98 and SPR'98
1998

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 grey-value 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.


Download in postscript format
@InProceedings{eth_biwi_00157,
  author = {S. Brechner and F. Ade},
  title = {Features for the Classification of Marine Microfossils},
  booktitle = {Advances in Pattern Recognition: Joint IAPR International Workshops SSPR'98 and SPR'98},
  year = {1998},
  pages = {1659--1669},
  editor = {A. Amin and D. Dori and P. Pudil and H. Freeman},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer-Verlag},
  keywords = {classification,recognition,natural objects,contour,edges,shape}
}