|Texture segmentation using directional empirical mode decomposition|
|Liu Zhongxuan; Wang Hongjian; Peng Silong; Zhongxuan Liu
|Conference Name||2004 International Conference on Image Processing ICIP 2004
|Abstract||In this paper the technique of Directional Empirical Mode
Decomposition (DEMD) and ils application to texture segmentation are presented. Empirical Mode Decomposition
(EMD) decomposessignals by sifting and then analyzes the
instantaneous frequency of the obtained components called
Intrinsic Mode Functions (IMFs). As a new form of extending 1-D EMD to 2-D case DEMD considers the directional frequency and envelope at each point. One type of
2-D Hilbert transform is introduced to compute the analytical functions for the frequency and envelope. The technique
of selecting directions for DEMD based on texture’s Wold
theory is also presented. Experimental results indicate the
effectiveness of the method for texture segmentation.|
|Corresponding Author||Zhongxuan Liu|
Liu Zhongxuan,Wang Hongjian,Peng Silong,et al. Texture segmentation using directional empirical mode decomposition[C],2004:pp 279-282.
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