Skip to main content

Maximum Weight Digital Regions Decomposable into Digital Star-Shaped Regions

  • Conference paper
Algorithms and Computation (ISAAC 2011)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7074))

Included in the following conference series:

Abstract

We consider an optimization version of the image segmentation problem, in which we are given a grid graph with weights on the grid cells. We are interested in finding the maximum weight subgraph such that the subgraph can be decomposed into two ”star-shaped” images. We show that this problem can be reduced to the problem of finding a maximum-weight closed set in an appropriately defined directed graph which is well known to have efficient algorithms which run very fast in practice. We also show that finding a maximum-weight subgraph that is decomposable into m star-shaped objects is NP-hard for some m > 2.

This material is based upon work supported by the National Science Foundation under Grant No. CCF-0830402 and Grant No. CCF-0844765 as well as by the National Institute of Health under Grant No. R01-EB004640.

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 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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Asano, T., Chen, D.Z., Katoh, N., Tokuyama, T.: Efficient algorithms for optimization-based image segmentation. Int. J. Comput. Geometry Appl. 11(2), 145–166 (2001)

    Article  MathSciNet  MATH  Google Scholar 

  2. Boykov, Y., Veksler, O., Zabih, R.: Fast approximate energy minimization via graph cuts. IEEE Trans. Pattern Anal. Mach. Intell. 23(11), 1222–1239 (2001)

    Article  Google Scholar 

  3. Chen, D.Z., Chun, J., Katoh, N., Tokuyama, T.: Efficient Algorithms for Approximating a Multi-dimensional Voxel Terrain by a Unimodal Terrain. In: Chwa, K.-Y., Munro, J.I.J. (eds.) COCOON 2004. LNCS, vol. 3106, pp. 238–248. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  4. Chen, D.Z., Hu, X.S., Luan, S., Wu, X., Yu, C.X.: Optimal Terrain Construction Problems and Applications in Intensity-modulated Radiation Therapy. In: Möhring, R.H., Raman, R. (eds.) ESA 2002. LNCS, vol. 2461, pp. 270–283. Springer, Heidelberg (2002)

    Chapter  Google Scholar 

  5. Christ, T., Pálvölgyi, D., Stojakovic, M.: Consistent digital line segments. In: Snoeyink, J., de Berg, M., Mitchell, J.S.B., Rote, G., Teillaud, M. (eds.) Symposium on Computational Geometry, pp. 11–18. ACM, New York (2010)

    Google Scholar 

  6. Chun, J., Kasai, R., Korman, M., Tokuyama, T.: Algorithms for Computing the Maximum Weight Region Decomposable into Elementary Shapes. In: Dong, Y., Du, D.-Z., Ibarra, O. (eds.) ISAAC 2009. LNCS, vol. 5878, pp. 1166–1174. Springer, Heidelberg (2009)

    Chapter  Google Scholar 

  7. Chun, J., Korman, M., Nöllenburg, M., Tokuyama, T.: Consistent digital rays. Discrete & Computational Geometry 42(3), 359–378 (2009)

    Article  MathSciNet  MATH  Google Scholar 

  8. Chun, J., Sadakane, K., Tokuyama, T.: Efficient algorithms for constructing a pyramid from a terrain. IEICE Transactions 89-D(2), 783–788 (2006)

    Article  MATH  Google Scholar 

  9. Fukuda, T., Morimoto, Y., Morishita, S., Tokuyama, T.: Data mining using two-dimensional optimized accociation rules: Scheme, algorithms, and visualization. In: Jagadish, H.V., Mumick, I.S. (eds.) SIGMOD Conference, pp. 13–23. ACM Press (1996)

    Google Scholar 

  10. Fukuda, T., Morimoto, Y., Morishita, S., Tokuyama, T.: Data mining with optimized two-dimensional association rules. ACM Trans. Database Syst. 26(2), 179–213 (2001)

    Article  MATH  Google Scholar 

  11. Hochbaum, D.S.: A new - old algorithm for minimum-cut and maximum-flow in closure graphs. Networks 37(4), 171–193 (2001)

    Article  MathSciNet  MATH  Google Scholar 

  12. Picard, J.-C.: Maximal closure of a graph and applications to combinatorial problems. Management Science 22(11), 1268–1272 (1976)

    Article  MathSciNet  MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Gibson, M., Han, D., Sonka, M., Wu, X. (2011). Maximum Weight Digital Regions Decomposable into Digital Star-Shaped Regions. In: Asano, T., Nakano, Si., Okamoto, Y., Watanabe, O. (eds) Algorithms and Computation. ISAAC 2011. Lecture Notes in Computer Science, vol 7074. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25591-5_74

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-25591-5_74

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-25590-8

  • Online ISBN: 978-3-642-25591-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics