An Approach to Edge Detection on a Virtual Hexagonal Structure

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dc.contributor.author Jia, Wenjing en_US
dc.contributor.author Li, Jianmin en_US
dc.contributor.author Wu, Qiang en_US
dc.contributor.author Hintz, Thomas en_US
dc.contributor.author He, Sean en_US
dc.contributor.editor Bottema, Murk et al. en_US
dc.date.accessioned 2009-11-09T05:36:00Z
dc.date.available 2009-11-09T05:36:00Z
dc.date.issued 2007 en_US
dc.identifier 2007000553 en_US
dc.identifier.citation He Xiangjian et al. 2007, 'An Approach to Edge Detection on a Virtual Hexagonal Structure', IEEE Computer Society, Los Alamitos, USA, pp. 340-345. en_US
dc.identifier.issn 0-7695-3067-2 en_US
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. en_US
dc.publisher IEEE Computer Society en_US
dc.relation.isbasedon http://dx.doi.org/10.1109/DICTA.2007.4426816 en_US
dc.title An Approach to Edge Detection on a Virtual Hexagonal Structure en_US
dc.parent Digital Image Computing Techniques and Applications en_US
dc.journal.volume en_US
dc.journal.number en_US
dc.publocation Los Alamitos, USA en_US
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.location Glenelg, Australia en_US
dc.for 080106 en_US
dc.personcode 990421 en_US
dc.personcode 044299 en_US
dc.personcode 0000035917 en_US
dc.personcode 000748 en_US
dc.personcode 830145 en_US
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.location.activity Glenelg, Australia en_US
dc.staffid 830145 en_US


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