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http://dx.doi.org/10.6109/jkiice.2012.16.7.1518

A Study on Edge Detection for Images Corrupted by AWGN using Modified Weighted Vector  

Lee, Chang-Young (부경대학교 제어계측공학과)
Kim, Nam-Ho (부경대학교 제어계측공학과)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.16, no.7, 2012 , pp. 1518-1523 More about this Journal
Abstract
Due to development of visual media in various industrial sectors, the importance of image processing is increasing. Among the various image processing areas, edge detection is utilized widely for various fields such as object recognition, object segmentation, the medical and other industries. Edge includes the critical factors of images like size, direction and location. Then conventional methods such as Sobel, Prewitt, Roberts and Laplacian are proposed to detect edge. However, edge detection property of these methods is declined when they are applied to the image which corrupted by AWGN(Additive White Gaussian Noise). Therefore, an algorithm using modified weighted filter is proposed in this paper and our method has excellent property on edge detection.
Keywords
AWGN; sub-mask; edge detection; noise; weighted vector;
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