Parallel edge detection on a virtual hexagonal structure

Authors:
Xiangjian He;Wenjing Jia;Qiang Wu;Tom Hintz
Affiliations:
Computer Vision and Visualization Research Group, University of Technology, Sydney, Australia;Computer Vision and Visualization Research Group, University of Technology, Sydney, Australia;Computer Vision and Visualization Research Group, University of Technology, Sydney, Australia;Computer Vision and Visualization Research Group, University of Technology, Sydney, Australia
Venue:
GPC'07 Proceedings of the 2nd international conference on Advances in grid and pervasive computing
Year:
2007

Citing 3
Cited 0

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Abstract

This paper presents an edge detection method based on bilateral filtering taking into account both spatial closeness and intensity similarity of pixels in order to preserve important visual cues provided by edges and reduce the sharpness of transitions in intensity values as well. In addition, the edge detection method proposed in this paper is achieved on sampled images represented on a newly developed virtual hexagonal structure. Due to the compact and circular nature of the hexagonal lattice, a better quality edge map is obtained. We also present a parallel implementation for edge detection on the virtual hexagonal structure that significantly increases the computation speed.