Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/6518
Title: Detection of linear and planar structures in 3D subsurface images by iterative dimension reduction
Authors: Gürbüz, Ali Cafer
McClellan, James H.
Scott, Waymond R., Jr.
Keywords: 3D hough transform
Line detection
Plane detection
Subsurface imaging
Tunnel detection
GPR
Issue Date: 2010
Publisher: Academic Press Inc Elsevier Science
Abstract: A unified framework for detecting both linear and planar structures in three-dimensional (3D) images is developed. The method uses an iterative detection and removal strategy. The dimension reduction scheme reduces the search space for lines by first finding 2D planes and then searching for lines in the selected planes only. Thus the computational time of the method is lower than the 3D Hough Transform (HT) for lines. The proposed method is tested using experimental Ground Penetrating Radar (GPR) data taken over buried pipes, however the method is general enough to be applied to any situation where linear or planar structures need to be identified in 3D data. (C) 2009 Elsevier Inc. All rights reserved.
URI: https://doi.org/10.1016/j.dsp.2009.06.020
https://hdl.handle.net/20.500.11851/6518
ISSN: 1051-2004
1095-4333
Appears in Collections:Elektrik ve Elektronik Mühendisliği Bölümü / Department of Electrical & Electronics Engineering
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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