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

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...

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Main Authors: Pathmanabhan, A., Dinesh, S.
Format: Article
Language:English
Published: HINDAWI PUBLISHING CORPORATION 2007
Subjects:
Online Access:http://shdl.mmu.edu.my/3155/
http://shdl.mmu.edu.my/3155/1/1168.pdf
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author Pathmanabhan, A.
Dinesh, S.
author_facet Pathmanabhan, A.
Dinesh, S.
author_sort Pathmanabhan, A.
building MMU Institutional Repository
collection Online Access
description 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. Copyright (C) 2007 A. Pathmanabhan and S. Dinesh.
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spelling mmu-31552014-03-03T04:36:20Z http://shdl.mmu.edu.my/3155/ The Effect of Gaussian Blurring on the Extraction of Peaks and Pits from Digital Elevation Models Pathmanabhan, A. Dinesh, S. T Technology (General) QA75.5-76.95 Electronic computers. Computer science 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. Copyright (C) 2007 A. Pathmanabhan and S. Dinesh. HINDAWI PUBLISHING CORPORATION 2007 Article NonPeerReviewed text en http://shdl.mmu.edu.my/3155/1/1168.pdf Pathmanabhan, A. and Dinesh, S. (2007) The Effect of Gaussian Blurring on the Extraction of Peaks and Pits from Digital Elevation Models. Discrete Dynamics in Nature and Society, 2007. p. 1. ISSN 1026-0226 http://dx.doi.org/10.1155/2007/62137 doi:10.1155/2007/62137 doi:10.1155/2007/62137
spellingShingle T Technology (General)
QA75.5-76.95 Electronic computers. Computer science
Pathmanabhan, A.
Dinesh, S.
The Effect of Gaussian Blurring on the Extraction of Peaks and Pits from Digital Elevation Models
title The Effect of Gaussian Blurring on the Extraction of Peaks and Pits from Digital Elevation Models
title_full The Effect of Gaussian Blurring on the Extraction of Peaks and Pits from Digital Elevation Models
title_fullStr The Effect of Gaussian Blurring on the Extraction of Peaks and Pits from Digital Elevation Models
title_full_unstemmed The Effect of Gaussian Blurring on the Extraction of Peaks and Pits from Digital Elevation Models
title_short The Effect of Gaussian Blurring on the Extraction of Peaks and Pits from Digital Elevation Models
title_sort effect of gaussian blurring on the extraction of peaks and pits from digital elevation models
topic T Technology (General)
QA75.5-76.95 Electronic computers. Computer science
url http://shdl.mmu.edu.my/3155/
http://shdl.mmu.edu.my/3155/
http://shdl.mmu.edu.my/3155/
http://shdl.mmu.edu.my/3155/1/1168.pdf