DocumentCode
3314239
Title
Adaptive Multi-scale Edge Detection in the EMD Domain
Author
Ling, Zheng ; Bin, Zhang ; Jiye, Wang
Author_Institution
Sch. of Control & Comput. Eng., North China Electr. Power Univ., Beijing, China
fYear
2012
fDate
17-19 Aug. 2012
Firstpage
183
Lastpage
186
Abstract
A multi-scale edge detection method in the empirical mode decomposition (EMD) domain using the consistent EMD method to decompose the reference noise to adaptively estimate the noise threshold is proposed to detect the edges of noisy signals with different signal to noise ratios. The new algorithm first calculates the slope of the EMD residuals in scales. Second, it eliminates the noise in the slope signal by thresholding, and the noise threshold is estimated according to the mean square value of the reference noise. At last, the edge information is output by the way of the spatial consistence test. Simulation results show that, the adaptive multi-scale edge detection method in the EMD domain can accurately detect the signal edges, and suppress the noise.
Keywords
edge detection; image denoising; mean square error methods; EMD residuals; adaptive multiscale edge detection method; consistent EMD method; empirical mode decomposition domain; mean square value; noise threshold estimation; reference noise elimination; signal to noise ratios; slope signal; spatial consistence test; Algorithm design and analysis; Educational institutions; Image edge detection; Noise; Signal processing algorithms; edge detection; empirical mode decomposition method; multi-scale; threshold;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational and Information Sciences (ICCIS), 2012 Fourth International Conference on
Conference_Location
Chongqing
Print_ISBN
978-1-4673-2406-9
Type
conf
DOI
10.1109/ICCIS.2012.59
Filename
6300311
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