IDEAS home Printed from https://ideas.repec.org/a/hin/jnddns/062137.html
   My bibliography  Save this article

The Effect of Gaussian Blurring on the Extraction of Peaks and Pits from Digital Elevation Models

Author

Listed:
  • A. Pathmanabhan
  • S. Dinesh

Abstract

Gaussian blurring is an isotropic smoothing operator that is used to remove noise and detail from images. In this paper, the effect of Gaussian blurring on the extraction of peaks and pits from digital elevation models (DEMs) is studied. First, a mathematical morphological-based algorithm to extract peaks and pits from DEMs is developed. Gaussian blurring is then implemented on the global digital elevation model (GTOPO30) of Great Basin using Gaussian kernels of different sizes and standard deviation values. The number of peaks and pits extracted from the resultant DEMs is computed using connected component labeling and the results are compared. The application of Gaussian blurring to perform the treatment of spurious peaks and pits in DEMs is also discussed. This work is aimed at studying the capabilities of Gaussian blurring in the modeling of objects and processes operating within an environment.

Suggested Citation

  • A. Pathmanabhan & S. Dinesh, 2007. "The Effect of Gaussian Blurring on the Extraction of Peaks and Pits from Digital Elevation Models," Discrete Dynamics in Nature and Society, Hindawi, vol. 2007, pages 1-12, January.
    • Handle: RePEc:hin:jnddns:062137
    DOI: 10.1155/2007/62137
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/DDNS/2007/062137.pdf
    Download Restriction: no
    File URL: http://downloads.hindawi.com/journals/DDNS/2007/062137.xml
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2007/62137?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hin:jnddns:062137. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.