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
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;
Conference_Titel :
Computational and Information Sciences (ICCIS), 2012 Fourth International Conference on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4673-2406-9
DOI :
10.1109/ICCIS.2012.59