An Approach of Canny Edge Detection with Virtual Hexagonal Image Structure

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dc.contributor.author Jia, Wenjing en_US
dc.contributor.author Wu, Qiang en_US
dc.contributor.author He, Sean en_US
dc.contributor.editor Changyun Wen and Thuong Cat Pham en_US
dc.date.accessioned 2010-05-28T09:59:26Z
dc.date.available 2010-05-28T09:59:26Z
dc.date.issued 2008 en_US
dc.identifier 2008001696 en_US
dc.identifier.citation He Xiangjian, Jia Wenjing, and Wu Qiang 2008, 'An Approach of Canny Edge Detection with Virtual Hexagonal Image Structure', IEEE, Singapore, pp. 879-882. en_US
dc.identifier.issn 978-1-4244-2287-6 en_US
dc.identifier.other E1 en_US
dc.identifier.uri http://hdl.handle.net/10453/10771
dc.description.abstract Edge detection plays an important role in the areas of image processing, multimedia and computer vision. Gradient-based edge detection is a straightforward method to identify the edge points in the original grey-level image. It is intuitive that, in the human vision system, the edge points always appear where the gradient magnitude assumes a maximum. Hexagonal structure is an image structure alternative to traditional square image structure. 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, an approach that uses bilinear interpolation and tri-linear interpolation is applied for conversion between square and hexagonal structures. Based on this approach, an edge detection method is proposed. This method performs Gaussian filtering to suppress image noise and computes gradients on the hexagonal structure. The pixel edge strengths on the square structure are then estimated before Canny's edge detector is applied to determine the final edge map. The experimental results show that the proposed method improves the edge detection accuracy and efficiency. en_US
dc.language en_US
dc.publisher IEEE en_US
dc.relation.isbasedon http://dx.doi.org/10.1109/ICARCV.2008.4795633 en_US
dc.title An Approach of Canny Edge Detection with Virtual Hexagonal Image Structure en_US
dc.parent International Conference on Control, Automation, Robotics and Vision en_US
dc.journal.volume en_US
dc.journal.number en_US
dc.publocation Singapore en_US
dc.identifier.startpage 879 en_US
dc.identifier.endpage 882 en_US
dc.cauo.name INEXT Research Strength Core en_US
dc.conference Verified OK en_US
dc.for 090900 en_US
dc.personcode 990421 en_US
dc.personcode 044299 en_US
dc.personcode 000748 en_US
dc.percentage 100 en_US
dc.classification.name Geomatic Engineering en_US
dc.classification.type FOR-08 en_US
dc.edition en_US
dc.custom en_US
dc.custom International Conference on Control, Automation, Robotics and Vision en_US
dc.date.activity 20081217 en_US
dc.location.activity Hanoi, Vietnam en_US
dc.description.keywords en_US
dc.staffid en_US
dc.staffid 000748 en_US


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