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http://dx.doi.org/10.5573/ieek.2013.50.5.218

Edge Detection Method using Modified Coefficient Masks  

Lee, Chang-Young (Dept. of Control & Instrumentation Eng., Pukyong National University)
Chung, Suk-Moon (Dept. of Electrical & Electronic Eng., ROKNA)
Kim, Nam-Ho (Dept. of Control & Instrumentation Eng., Pukyong National University)
Publication Information
Journal of the Institute of Electronics and Information Engineers / v.50, no.5, 2013 , pp. 218-223 More about this Journal
Abstract
The performances of previous edge detection methods such as Sobel, Prewitt, and LoG(Laplacian of Gaussian) are insufficient for images degraded in AWGN(additive white Gaussian noise). Therefore, in this paper, we proposed an edge detection algorithm using a modified coefficient masks with gradient masks and distance weight mask. In order to confirm and verify the performance of the proposed algorithm, we simulated and compared proposed algorithm to conventional methods on various standard images added AWGN with a standard deviation ${\sigma}$=15, 30 and proposed algorithm shows superior edge detection characteristics in processed images.
Keywords
Edge detection; Coefficient masks; Image edge; AWGN;
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