Improving Empirical Mode Decomposition Using Support Vector Machines for Multifocus Image Fusion

Improving Empirical Mode Decomposition Using Support Vector Machines for Multifocus Image Fusion

Empirical mode decomposition (EMD) is good at analyzing nonstationary and nonlinear signals while support vector machines (SVMs) are widely used for classification. In this paper, a combination of EMD and SVM is proposed as an improved method for fusing multifocus images. Experimental results show t...

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Bibliographic Details
Main Authors: Chen, Shaohui, Su, Hongbo, Zhang, Renhua, Tian, Jing, Yang, Lihu
Format: Online
Language:English
Published: Molecular Diversity Preservation International (MDPI) 2008
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3673427/

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3673427/

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