Skip to main content

On the Validity of the Two Raster Sequences Distance Transform Algorithm

  • Conference paper
  • First Online:
Discrete Geometry and Mathematical Morphology (DGMM 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13493))

  • 344 Accesses

Abstract

This paper examines the validity of the two raster sequences distance transform algorithm, originally given by Rosenfeld and Pfaltz for the distance \(d_4\), then extended to the weighted distances by Montanari and Borgefors. We show that the convergence in two passes does not hold for all chamfer masks, and we prove that the chamfer norm condition is a sufficient condition of validity for the algorithm.

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 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
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

Similar content being viewed by others

References

  1. Rosenfeld, A., Pfaltz, J.: Sequential operations in digital picture processing. J. ACM 13(4), 471–494 (1966)

    Article  Google Scholar 

  2. Montanari, U.: A method for obtaining skeletons using a quasi-euclidean distance. J. ACM 15, 600–624 (1968)

    Article  Google Scholar 

  3. Borgefors, G.: Distance transformations in arbitrary dimensions. Comput. Vis. Graph. Image Process. 27, 321–345 (1984)

    Article  Google Scholar 

  4. Borgefors, G.: Distance transformations in digital images. Comput. Vis. Graph. Image Process. 34, 344–371 (1986)

    Article  Google Scholar 

  5. Das, P.P., Chatterji, B.N.: Knight’s distance in digital geometry. Pattern Recogn. Lett. 7, 215–226 (1988)

    Article  Google Scholar 

  6. Thiel, E.: Géométrie des distances de chanfrein. Habilitation à Diriger des Recherches, Université de la Méditerranée, Aix-Marseille, 2 Déc 2001. https://pageperso.lis-lab.fr/~edouard.thiel/hdr/

  7. Normand, N.: Projections et distances discrètes. Université de Nantes (Nov, Habilitation à Diriger des Recherches (2012)

    Google Scholar 

  8. Strand, R., Normand, N.: Distance transform computation for digital distance functions. Theoret. Comput. Sci. 448, 80–93 (2012)

    Article  MathSciNet  Google Scholar 

  9. Annex with source code. https://pageperso.lis-lab.fr/~edouard.thiel/DGMM2022/

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Édouard Thiel .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2022 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Thiel, É. (2022). On the Validity of the Two Raster Sequences Distance Transform Algorithm. In: Baudrier, É., Naegel, B., Krähenbühl, A., Tajine, M. (eds) Discrete Geometry and Mathematical Morphology. DGMM 2022. Lecture Notes in Computer Science, vol 13493. Springer, Cham. https://doi.org/10.1007/978-3-031-19897-7_34

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-19897-7_34

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-19896-0

  • Online ISBN: 978-3-031-19897-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics