Edge detection using a complex-valued directional vector representation

Authors:
Sung Bae Kim;Rae-Hong Park
Affiliations:
Department of Electronic Engineering, Sogang University, Seoul, Korea;Department of Electronic Engineering, Sogang University, Seoul, Korea
Venue:
ISVC'06 Proceedings of the Second international conference on Advances in Visual Computing - Volume Part II
Year:
2006

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Abstract

Edge detection is a fundamental step in computer vision and image analysis. A new method using the modified Laplacian and position mask is proposed for edge detection of both gray-evel and color images. A directional field is computed by the proposed masks and edges are detected by additional simple mask operations. Edge detection results by the proposed masks are shown in comparison with those by Sobel, Laplacian of Gaussian (LoG), and Canny operators.