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: A. Pathmanabhan, S. Dinesh
Format: Article
Language:English
Published: Wiley 2007-01-01
Series:Discrete Dynamics in Nature and Society
Online Access:http://dx.doi.org/10.1155/2007/62137
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author A. Pathmanabhan
S. Dinesh
author_facet A. Pathmanabhan
S. Dinesh
author_sort A. Pathmanabhan
collection DOAJ
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.
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spelling doaj-art-90bfa5cf366b42d6befb2b5a629410852025-02-03T01:09:02ZengWileyDiscrete Dynamics in Nature and Society1026-02261607-887X2007-01-01200710.1155/2007/6213762137The Effect of Gaussian Blurring on the Extraction of Peaks and Pits from Digital Elevation ModelsA. Pathmanabhan0S. Dinesh1Faculty of Engineering and Technology, Multimedia University, Jalan Air Keroh Lama, Melaka 75450, MalaysiaScience and Technology Research Institute for Defence (STRIDE), Ministry of Defence, Bahagian Teknologi Maritim, D/A KD Malaya, Pangkalan TLDM, Perak 32100, Lumut, MalaysiaGaussian 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.http://dx.doi.org/10.1155/2007/62137
spellingShingle A. Pathmanabhan
S. Dinesh
The Effect of Gaussian Blurring on the Extraction of Peaks and Pits from Digital Elevation Models
Discrete Dynamics in Nature and Society
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
url http://dx.doi.org/10.1155/2007/62137
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