Skip to main content

Arrangement: A spatial relation comparing part embeddings and its use in medical image comparisons

  • Conference paper
  • First Online:
Information Processing in Medical Imaging (IPMI 1993)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 687))

Abstract

A qualitative spatial relation called “arrangement” is proposed in this paper. Given an image, the relation describes the sequence in which neighbors of each part are situated around it. “Arrangement” is closely related to directional relations and extends the notion of directional relations to parts that have complex shapes. The relation captures a perceptual gestalt of the image. A metric for comparing “arrangements” is also proposed. The metric is obtained by interpreting “arrangements” in terms of Voronoi diagrams. The metric allows robust use of the relation in real-world situations. An application of the relation to similarity retrieval in medical (cardiac) image databases is also discussed. The metric is evaluated as a pictorial-based means for retrieving images from this cardiac database and is compared with retrieval using human experts. These efforts are aimed at the development of a medical image database system which will be indexed primarily on pictorial information content.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Aurenhammer F., “Voronoi Diagrams — A Survey of a Fundamental Geometric Data Structure,” ACM Computing Surveys, Vol. 23, No. 3, Sept. 1991.

    Google Scholar 

  2. Ballard D. H., Brown C. M., Computer Vision, Pretince Hall, 1982.

    Google Scholar 

  3. Tagare H. D., Jaffe C. C., Duncan J. S, “Arrangement: A Qualitative Spatial Relation Between Parts for Image Retrieval,” Department of Electrical Engineering, Center for Systems Science, Tech. Rep. 9206, Yale University, 1992.

    Google Scholar 

  4. Hildreth E. C., Ullman S., The Computational Study of Vision in Foundations of Cognitive Science Posner M. I. (Ed.), M.I.T. Press, 1989.

    Google Scholar 

  5. Rivier N., “Continuous Random Networks: From Graphs to Glasses,” Advances in Physics, Vol. 36, No. 1, 95–134, 1987.

    Article  Google Scholar 

  6. Serra J., Image Analysis and Mathematical Morphology, Academic Press, 1982.

    Google Scholar 

  7. Truve S., Richards W., “From Waltz to Whitman,” in Natural Computation ed. Richards W., M.I.T. Press 1988.

    Google Scholar 

  8. Weaire D., Rivier N., “Soap, Cells and Statistics — Random Patterns in Two Dimensions,” Contemp. Phys., Vol. 25, No. 1, 59–99, 1984.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Harrison H. Barrett A. F. Gmitro

Rights and permissions

Reprints and permissions

Copyright information

© 1993 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Tagare, H.D., Vos, F., Jaffe, C.C., Duncan, J.S. (1993). Arrangement: A spatial relation comparing part embeddings and its use in medical image comparisons. In: Barrett, H.H., Gmitro, A.F. (eds) Information Processing in Medical Imaging. IPMI 1993. Lecture Notes in Computer Science, vol 687. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0013785

Download citation

  • DOI: https://doi.org/10.1007/BFb0013785

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-56800-1

  • Online ISBN: 978-3-540-47742-6

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics