Region-based shape representation and similarity measure suitable for content-based image retrieval

  • Authors:
  • Guojun Lu;Atul Sajjanhar

  • Affiliations:
  • Gippsland School of Computing and Information Technology, Monash University, Churchill, Victoria, 3842, Australia;Kent Ridge Digital Labs(KRDL), 11 Science Park Road, Science Park II, Singapore 117685

  • Venue:
  • Multimedia Systems
  • Year:
  • 1999

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Abstract

A region-based approach to shape representation and similarity measure is presented. The shape representation is invariant to translation, scale and rotation. The similarity measure conforms to human similarity perception, i.e., perceptually similar shapes have high similarity measure. An experimental shape retrieval system has been developed and its performance has been studied. The shape retrieval performance of the proposed approach is better than that of the more established Fourier descriptor method.