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Line-edge Detection using 2-D Wavelet Function in Degraded Image by AWGN  

배상범 (부경대학교 공과대학 제어계측공학과)
김남호 (부경대학교 공과대학 제어계측공학과)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.8, no.3, 2004 , pp. 748-753 More about this Journal
Abstract
Edge includes variety of information about image's location and shape etc. So a lot of researches for detecting those edges have been continuing even now and at the early stage of the research, edge detection operators searched neighborhood pixels and used relation among pixels. However, these methods do not have excellent performance in the image which exists noise and can not detect edges selectively. For this reason, in this paper we detected image's line-edge element from degraded image by AWGN (additive white gaussian noise) with wavelet function which is independent of line's width.
Keywords
edge; wavelet transform; AWGN;
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Times Cited By KSCI : 1  (Citation Analysis)
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