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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Detalles Bibliográficos
Autores principales: Chen, Shaohui, Su, Hongbo, Zhang, Renhua, Tian, Jing, Yang, Lihu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2008
Materias:
Full Research Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3673427/
https://www.ncbi.nlm.nih.gov/pubmed/27879831

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3673427/
https://www.ncbi.nlm.nih.gov/pubmed/27879831

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