Comparison of the effectiveness of alternative feature sets in shape retrieval of multicomponent images

@inproceedings{Eakins2001ComparisonOT,
  title={Comparison of the effectiveness of alternative feature sets in shape retrieval of multicomponent images},
  author={John P. Eakins and Jonathan D. Edwards and K. Jonathan Riley and Paul L. Rosin},
  booktitle={IS\&T/SPIE Electronic Imaging},
  year={2001}
}
Many different kinds of features have been used as the basis for shape retrieval from image databases. This paper investigates the relative effectiveness of several types of global shape feature, both singly and in combination. The features compared include well-established descriptors such as Fourier coefficients and moment invariants, as well as recently-proposed measures of triangularity and ellipticity. Experiments were conducted within the framework of the ARTISAN shape retrieval system… 
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Following Biederman's theory of recognition-by-components, it is postulate that shape analysis for retrieval should characterize an image by identifying properties such as collinearity, shape similarity and proximity in component boundaries, which can be used to group image components into families, from which indexing features can be derived.
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