A triple-diagonal gradient-based edge detection

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dc.contributor.author Wu, Q
dc.contributor.author He, X
dc.contributor.author Hintz, T
dc.contributor.editor Hamza, MH
dc.date.accessioned 2009-11-09T02:45:10Z
dc.date.issued 2003
dc.identifier.citation IASTED International Conference on Computer Graphics and Imaging, 2003, pp. 244 - 249
dc.identifier.isbn 0889863768
dc.identifier.other E1 en_US
dc.identifier.uri http://hdl.handle.net/10453/1716
dc.description.abstract Gradient-based edge detection is a straightforward method to identity the edge points in the original grey-level image. It is consistent with the intuition that in the human vision system the edge points always appear where the change of grey-level is greatest within their neighbourhood. In this paper, triple-diagonal gradient-based edge detection is introduced. It is based on the features of Spiral Architecture and computes the gradients in three diagonal directions instead of approximating the gradient in one direction only as the traditional methods do. Essentially, it improves the accuracy for locating edge points. As a result, it does not need any supplementary processing to enhance the edge map.
dc.title A triple-diagonal gradient-based edge detection
dc.type Conference Proceeding
dc.parent IASTED International Conference on Computer Graphics and Imaging
dc.journal.number en_US
dc.publocation Anaheim, USA en_US
dc.identifier.startpage 244 en_US
dc.identifier.endpage 249 en_US
dc.cauo.name FEIT.School of Computing and Communications en_US
dc.conference Verified OK en_US
dc.conference.location Honolulu, USA en_US
dc.for 080106 Image Processing
dc.for 080104 Computer Vision
dc.for 080109 Pattern Recognition and Data Mining
dc.personcode 830145
dc.personcode 990421
dc.personcode 000748
dc.percentage 40 en_US
dc.classification.name Image Processing en_US
dc.classification.type FOR-08 en_US
dc.custom IASTED International Conference on Computer Graphics and Imaging en_US
dc.date.activity 20030813 en_US
dc.location.activity Honolulu, USA en_US
dc.description.keywords Edge Detection
dc.description.keywords Laplacian of Gaussian Method
dc.description.keywords Spiral Architecture
pubs.embargo.period Not known
pubs.organisational-group /University of Technology Sydney
pubs.organisational-group /University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group /University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computing and Communications
pubs.organisational-group /University of Technology Sydney/Faculty of Engineering and Information Technology/School of Systems, Management and Leadership
utslib.copyright.status Closed Access
utslib.copyright.date 2015-04-15 12:23:47.074767+10
utslib.collection.history General (ID: 2)


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