Classification of pathological shapes using convexity measures

  • Authors:
  • Paul L. Rosin

  • Affiliations:
  • Cardiff School of Computer Science, Cardiff University, Queen's Buildings, Newport Road, P.O. Box 916, Cardiff CF24 3XF, UK

  • Venue:
  • Pattern Recognition Letters
  • Year:
  • 2009

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Abstract

Two new shape measures for quantifying the degree of convexity are described. When applied to assessment of skin lesions they are shown to be an effective indicator of malignancy, outperforming Lee et al's. OII scale-space based irregularity measure. In addition, the new measures were applied to the classification of mammographic masses and lung field boundaries and were shown to perform well relative to a large set of common shape measures that appear in the literature such as moments, compactness, symmetry, etc.