Registration and retrieval of highly elastic bodies using contextual information

J. Amores, P. Radeva

Research output: Contribution to journalArticleResearchpeer-review

7 Citations (Scopus)


In medical imaging, comparing and retrieving objects is non-trivial because of the high variability in shape and appearance. Such variety leads to poor performance of retrieval algorithms only based on local or global descriptors (shape, color, texture). In this article, we propose a context-based framework for medical image retrieval on the grounds of a global object context based on the mutual positions of local descriptors. This characterization is incorporated into a fast non-rigid registration process to provide invariance against elastic transformations. We apply our method to a complex domain of images-retrieval of intravascular ultrasound images according to vessel morphology. Final results are very encouraging. © 2005 Elsevier B.V. All rights reserved.
Original languageEnglish
Pages (from-to)1720-1731
JournalPattern Recognition Letters
Publication statusPublished - 1 Aug 2005


  • Contextual information
  • Elastic matching
  • IVUS
  • Medical imaging
  • Registration
  • Retrieval


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