An Approach to Edge Detection on a Virtual Hexagonal Structure

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dc.contributor.author He, S
dc.contributor.author Jia, W
dc.contributor.author Li, J
dc.contributor.author Wu, Q
dc.contributor.author Hintz, TB
dc.contributor.editor Bottema, MEA
dc.date.accessioned 2009-11-09T05:36:00Z
dc.date.issued 2007-01
dc.identifier.citation Digital Image Computing Techniques and Applications, 2007, pp. 340 - 345
dc.identifier.isbn 0-7695-3067-2
dc.identifier.other E1 en_US
dc.identifier.uri http://hdl.handle.net/10453/2604
dc.description.abstract Hexagonal structure is another image structure alternative to traditional square image structure for image processing and computer vision. The geometrical arrangement of pixels on a hexagonal structure can be described as a collection of hexagonal pixels. Because all the existing hardware for capturing image and for displaying image are produced based on square structure, it becomes important to find a proper software approach to mimic hexagonal structure so that images represented on the traditional square structure can be smoothly converted from or to the images on hexagonal structure. For accurate image processing, it is critical to best maintain the image resolution during the image conversion. In this paper, a bilinear interpolation algorithm that is used to convert an image from square structure to hexagonal structure is presented. Based on this, an edge detection method is proposed. Our experimental results show that the bilinear interpolation improves the edge detection accuracy.
dc.publisher IEEE Computer Society
dc.relation.isbasedon 10.1109/DICTA.2007.4426816
dc.title An Approach to Edge Detection on a Virtual Hexagonal Structure
dc.type Conference Proceeding
dc.parent Digital Image Computing Techniques and Applications
dc.journal.number en_US
dc.publocation Los Alamitos, USA en_US
dc.publocation Los Alamitos, USA
dc.identifier.startpage 340 en_US
dc.identifier.endpage 345 en_US
dc.cauo.name INEXT Research Strength Core en_US
dc.conference Verified OK en_US
dc.conference Digital Image Computing Techniques and Applications
dc.conference Digital Image Computing Techniques and Applications
dc.conference.location Glenelg, Australia en_US
dc.for 080106 Image Processing
dc.for 080104 Computer Vision
dc.personcode 830145
dc.personcode 990421
dc.personcode 000748
dc.personcode 044299
dc.percentage 70 en_US
dc.classification.name Image Processing en_US
dc.classification.type FOR-08 en_US
dc.custom Digital Image Computing Techniques and Applications en_US
dc.date.activity 20071203 en_US
dc.date.activity 2007-12-03
dc.date.activity 2007-12-03
dc.location.activity Glenelg, Australia en_US
dc.location.activity Glenelg, Australia
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 12:17:09.805752+10
pubs.consider-herdc true
utslib.collection.history Closed (ID: 3)


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