Texture Synthesis by Non-Parametric Sampling
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Improved bi-dimensional EMD and Hilbert spectrum for the analysis of textures
Pattern Recognition
A novel boundary extension approach for empirical mode decomposition
ICIC'06 Proceedings of the 2006 international conference on Intelligent Computing - Volume Part I
Morphological grayscale reconstruction in image analysis: applications and efficient algorithms
IEEE Transactions on Image Processing
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In bidimensional empirical mode decomposition, an appropriate stoppage criterion for the sifting process is important. To solve the problem of unstable convergence, a stepwise stop criterion was presented based on the Cauchy-type criterion. In one sifting process, a squared deviation of two successive residual components is first calculated. Then, an absolute value of the difference between two continuous deviations is calculated. The sifting process will stop when the difference value is less than the a priori value. A comparison of correlation coefficients of the final results decomposed from experimental models demonstrated that those intrinsic mode functions obtained by the stepwise stop criterion meet the requirements of orthogonality, and the mode mixing effect among them is depressed effectively. With the help of the proposed criterion, an example is given for extracting magnetic anomalies in the Pangxidong area, Guangdong Province, South China. The residual components of the first and second order of bidimensional intrinsic mode functions revealed a spatial relationship between ore deposits and anomalies.