Image Processing" target="_blank">Image Processing')">Image Processing;Bidimensional Empirical Mode Decomposition(BEMD);Multi-scale analysis;Radial basis function&prev_q=')">Radial basis function" target="_blank">')">Radial basis function
图像处理;二维EMD;多尺度分析;径向基函数, Open Access Library" />

全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

Compared and Improved Research of Bidimensional Empirical Mode Decomposition Method
二维EMD分解方法的比较与改进

Keywords: Image Processing" target="_blank">Image Processing')">Image Processing&searchField=keyword">Image Processing&prev_q=Image Processing')">Image Processing" target="_blank">Image Processing')">Image Processing,Bidimensional Empirical Mode Decomposition(BEMD),Multi-scale analysis,Radial basis function" target="_blank">')">Radial basis function
图像处理&searchField=keyword">Radial basis function&prev_q=')">Radial basis function" target="_blank">')">Radial basis function
图像处理
,二维EMD,多尺度分析,径向基函数

Full-Text   Cite this paper   Add to My Lib

Abstract:

In this paper, the implement process and application in image processing of bidimensinal EMD are given. Two interpolation methods are analyed and comperad in arithmetic speed and visual efficiency with experiments and theory, Delaunay triangulation based cubic spline interpolation and radial basis function interpolation which are usually used.At the same time, a new fast decomposition based on radial basis function interpolation is suggested. Its superiorities are also analyzed. The results prove this method is feasible, and its superiorities are obvrious.

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133