NDLI: Edge detection method based on wavelet space entropy and Canny algorithm

Content Provider	IEEE Xplore Digital Library
Author	Zhuolin Liang Su Chen
Copyright Year	2011
Description	Author affiliation: School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China (Zhuolin Liang; Su Chen)
Abstract	Wavelet space entropy is the extension of wavelet time entropy in the two-dimensional space, which can make use of the wavelet to detect sudden change in the signal. It's a good method to eliminate the effect of noise, but at the same time, the edge it detects is coarse and not integrated. Canny operator is a classical edge detection operator that has a good localization performance for the edge. It works well for the signal mixed with little noise, but when applied to image with lots of noise, the edge it detects is often submerged by the noise. In this paper, the wavelet space entropy algorithm is improved. Furthermore, the two methods of edge detection are combined in the paper to make full use of the advantage of both methods. Simulation has proved the integrated method to be a better one for edge detection when the image is polluted by noise.
Starting Page	245
Ending Page	249
File Size	192099
Page Count	5
File Format	PDF
ISBN	9781612841588
e-ISBN	9781612841595
DOI	10.1109/ICBNMT.2011.6155934
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-10-28
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Canny operator Wavelet space entropy Filtering Image edge detection Noise Entropy Edge detection Image fusion Wavelet coefficients
Content Type	Text
Resource Type	Article

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