Abstract
Abstract In order to improve the speed of two-dimensional empirical mode decomposition(2-D EMD)’ procedure and improve the quality of edges extract from intrinsic mode function(IMF) image,an algorithm based on triangulation interpolation two-dimensional empirical mode decomposition to detect image edges at multiple scales is proposed.This algorithm is realized using the faster interpolation method of Delaunay triangulation and cubic spline functions for surface interpolation,then extract edges from the first IMF image that was processed by multi-scale wavelet decomposition.Through the simulation experiment,results demonstrate that this method can not only detect image edge precisely,but also effectively restrain noise. Finally, the proposed algorithm is confirmed feasible and valid.
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