Skip to main content
SpringerLink
Log in

A Method of Ridge Detection in Triangular Dissections Generated by Homogeneous Rectangular Dissections

  • Conference paper
  • First Online:
Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing 2015

Part of the book series: Studies in Computational Intelligence ((SCI,volume 612))

Abstract

In order to display 3D terrain map effectively , detections of features on maps are very important. In this paper, we discuss a method for detection of ridges. It is known in the previous work that the steepest ascent method is effective for a ridge detection on terrain map represented by rectangular dissections. We will introduce the steepest ascent method in triangular dissections generated by homogeneous rectangular dissections.

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

Access this chapter

Log in via an institution
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 EPUB and 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
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover 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. Cousty, J., Bertrand, G., Najman, L., Couprie, M.: Watershed cuts: minimum spanning forests and the drop of water principle. Proc. IEEE Trans. PAMI 31(8), 1362–1374 (2009)

    Google Scholar 

  2. Koka, S., Anada, K., Nomaki, K., Sugita, K., Tsuchida, K., Yaku, T.: Ridge detection with the steepest ascent method. procedia Comput. Sci. 4, 216–221 (2011)

    Google Scholar 

  3. Kikuchi, T., Anada, K., Koka, S., Miyadera, Y., Yaku, T.: A data structure for triangular dissection of multi-resolution images. In: Proceedings of the 15th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNDP 2014), pp. 490-495 (2014)

    Google Scholar 

  4. Koka, S., Anada, K., Nakayama, Y., Sugita, K., Yaku, T., Yokoyama, R.: A comparison of ridge detection methods for DEM data. In: Proceedings of the 13th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNDP 2012), pp. 513-517 (2012)

    Google Scholar 

  5. Yokoyama, R., Kureha, A., Motohashi, T., Ogasawara, H., Yaku, T., Yoshino, D.: Geographical concept recognition with the octgrid method for learning geography and geology. Proc. IEEE ICALT 2007, 470–471 (2007)

    Google Scholar 

Download references

Acknowledgments

We would like to thank Prof. Kimio Sugita of Tokai University and Prof. Kensei Tsuchida of Toyo University for their valuable suggestions.

Author information

Authors and Affiliations

  1. Research Institute for Science and Engineering, Waseda University, Tokyo, Japan

    Koichi Anada

  2. Department of Information Science, Nihon University, Tokyo, Japan

    Taiyou Kikuchi & Takeo Yaku

  3. College of Humanities and Sciences, Nihon University, Tokyo, Japan

    Shinji Koka

  4. Department of Mathematics and Information Science, Tokyo Gakugei University, Tokyo, Japan

    Youzou Miyadera

Authors
  1. Koichi Anada
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Taiyou Kikuchi
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Shinji Koka
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Youzou Miyadera
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Takeo Yaku
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Koichi Anada .

Editor information

Editors and Affiliations

  1. Software Engineering and Information Technology Institute, Central Michigan University, Mount Pleasant, Michigan, USA

    Roger Lee

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing Switzerland

About this paper

Cite this paper

Anada, K., Kikuchi, T., Koka, S., Miyadera, Y., Yaku, T. (2016). A Method of Ridge Detection in Triangular Dissections Generated by Homogeneous Rectangular Dissections. In: Lee, R. (eds) Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing 2015. Studies in Computational Intelligence, vol 612. Springer, Cham. https://doi.org/10.1007/978-3-319-23509-7_10

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-23509-7_10

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-23508-0

  • Online ISBN: 978-3-319-23509-7

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation