Abstract:
Edge detection plays an important role in image processing area. This
paper presents an 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 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 on
the hexagonal structure than common edge detection on square structure.
Experimental results using proposed methods exhibit encouraging performance.
