Simulation Research of Applying Two-dimensional Empirical Mode Decomposition on Image Feature Extraction

摘要：

The edge feature extraction of image is one of the research fields of image processing theory and application. The traditional methods of image feature extraction are simple and proficient, but the accurate performance of the feature extracted is not even higher. As such, a new method for extracting image edge feature was proposed by using the twodimensional Empirical Mode Decomposition (2-D EMD) and Riesz Transform. Firstly, the image was decomposed to multilevel Intrinsic) Mode Function (IMF) by 2-D EMD, and then the Riesz Transform with stronger local preserving ability was used for analyzing their local properties instead of the Hilbert Transform, by which the edge feature extraction with higher resolution was carried on. Finally, simulation shows that the proposed method is feasible and valid.

关键词： 2-D EMD Riesz transform feature extraction simulation research

作者: Qin Wang Ran Jin Kun Gao

作者单位: School of Computer Science and Information Technology, Zhejiang Wanli University,Ningbo 315100, P. R. China

会议类型: 国际会议

会议名称: Sixth International Conference on Semantics,Knowledge and Grids(第六届语义、知识与网格国际会议 SKG 2010)

会议地点: 宁波

会议语种:英文

页码: 402-405

在线出版日期: 2010-11-01（万方平台首次上网日期，不代表论文的发表时间）