Canny Edge Detection Using Bilateral Filter on Real Hexagonal Structure

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Conference Proceeding
12th International Conference - Advanced Concepts for Intelligent Vision System, ACIVS 2010, 2010, pp. 233 - 244
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Edge detection plays an important role in image processing area. This paper presents a Canny edge detection method based on bilateral filtering which achieves better performance than single Gaussian filtering. In this form of filtering, both spatial closeness and intensity similarity of pixels are considered in order to prserve 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 real hexagon structure. Due to the compact and circular nature of hexagonal lattice, a better quality edge map is obtained on the hexagonal structure than common edge detection on square structure. Experimental results using proposed methods exhibit also the faster speed of detection on hexagonal structure.
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