The DSC algorithm for edge detection

Authors:
Jonghoon Oh;Chang-Sung Jeong
Affiliations:
Department of Electronics Engineering, Korea University, Seoul, Korea;Department of Electronics Engineering, Korea University, Seoul, Korea
Venue:
AI'04 Proceedings of the 17th Australian joint conference on Advances in Artificial Intelligence
Year:
2004

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Abstract

Edge detection is one of the fundamental operations incomputer vision with numerous approaches to it In nowadays, many algorithms for edge detection have been proposed However, most conventional techniques have assumed clear images or Gaussian noise images, thus their performance could decrease with the impulse noise In this paper, we present an edge detection approach using Discrete Singular Convolution algorithm The DSC algorithm efficiently detects edges not only original images but also noisy images which are added by Gaussian and impulse noise Therefore, we evaluate that the performance of the DSC algorithm is compared with other algorithms such as the Canny, Bergholm, and Rothwell algorithm.