A new similarity measure for histograms applied to content-based retrieval of medical images

  • Authors:
  • Joaquim C. Felipe;Agma J. M. Traina;Caetano Jr Traina

  • Affiliations:
  • University of São Paulo at Ribeirão Preto - Brazil;University of São Paulo at São Carlos - Brazil;University of São Paulo at São Carlos - Brazil

  • Venue:
  • Proceedings of the 2006 ACM symposium on Applied computing
  • Year:
  • 2006

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Abstract

This paper presents a new similarity measure to compare gray-level histograms, aiming at reducing both false positive and false negative results, in the context of medical images.