Empirical mode decomposition on skeletonization pruning

作者：

Highlights：

• Usage of Ensemble Empirical Mode Decomposition (EEMD) on object skeletonization

• Modeling of object contour with a 2D EEMD-like procedure

• The produced IMFs provide a very good and novel workspace for image skeletonization.

• The proposed method is fully automated and unsupervised.

摘要

•Usage of Ensemble Empirical Mode Decomposition (EEMD) on object skeletonization•Modeling of object contour with a 2D EEMD-like procedure•The produced IMFs provide a very good and novel workspace for image skeletonization.•The proposed method is fully automated and unsupervised.

论文关键词：Empirical mode decomposition,Ensemble empirical mode decomposition,Intrinsic mode,Skeleton,Skeletonization,Pruning

论文评审过程：Received 29 October 2011, Revised 12 February 2013, Accepted 25 April 2013, Available online 10 May 2013.

论文官网地址：https://doi.org/10.1016/j.imavis.2013.04.005