Skip to main content

A Diffusion-Based Description of Shape

  • Conference paper
Pattern Recognition Theory and Applications

Part of the book series: NATO ASI Series ((NATO ASI F,volume 30))

Abstract

A method is presented that uses a diffusion-like process to describe the shape of a region. Convexity is not required, the descriptor is invariant under several common transformations, is applicable in the n-dimensional case, and is easy to compute.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Attneave, F., (1985), “Some Informational Aspects of Visual Perception,” Psychol Rev. 61, 183–193.

    Article  Google Scholar 

  2. Ballard, D. and C. Brown, (1982), Computer Vision, Prentice-Hall Englewood Cliffs, N.J.

    Google Scholar 

  3. Biederman, I., (1985), “Human Image Understanding: Recent Research and a Theory,” Computer Vision, Graphics and Image Processing, 32, 29–73.

    Article  Google Scholar 

  4. Braccini, C. and G. Marino, (1980), “Fast Geometrical Manipulations of Digital Images,” Computer Graphics and Image Processing, 13, 127–141.

    Article  Google Scholar 

  5. Danielsson, P-E., (1978), “A New Shape Factor,” Computer Graphics and Image Processing 7, 292–299.

    Article  Google Scholar 

  6. Duda, R.O., and P. Hart, (1973), Pattern Recognition and Scene Analysis, Wiley, New York; Chapter 9.

    Google Scholar 

  7. Nevatia, R., (1982), Machine Perception, Prentice-Hall, Englewood Cliffs, N.J.

    Google Scholar 

  8. Pavlidis, T., (1978), “A Review of Algorithm for Shape Analysis,” Computer Graphics and Image Processing, 7, 1978, 243–258.

    Article  Google Scholar 

  9. Rosenfeld, A., and E. Johnston, (1973), “Angle Detection on Digital Curves,” IEEE Trans. Computers, C-22, 1973, pp. 875–878.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1987 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Loew, M.H. (1987). A Diffusion-Based Description of Shape. In: Devijver, P.A., Kittler, J. (eds) Pattern Recognition Theory and Applications. NATO ASI Series, vol 30. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-83069-3_40

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-83069-3_40

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-83071-6

  • Online ISBN: 978-3-642-83069-3

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics