Multi-focus image fusion using pulse coupled neural network

被引：221

作者：

Huang, Wei ^{[1
]}

Jing, Zhongliang

机构：

[1] Shanghai Jiao Tong Univ, Inst Aerosp Informat & Control, Sch Elect Informat & Elect Engn, Shanghai 200030, Peoples R China

[2] Shanghai Jiao Tong Univ, Inst Aerosp Sci & Technol, Shanghai 200030, Peoples R China

来源：

PATTERN RECOGNITION LETTERS | 2007年 / 28卷 / 09期

基金：

中国国家自然科学基金;

关键词：

multi-focus image fusion; pulse coupled neural network;

D O I：

10.1016/j.patrec.2007.01.013

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper presents a method for multi-focus image fusion by using pulse coupled neural network (PCNN). The registered source images are first decomposed into blocks and the size of the image blocks is 8 x 8 pixels. Feature maps are obtained by computing the energy of image Laplacian of each block. Input the feature maps into PCNN as external stimulus. The final fused image can be constructed by selecting the image blocks from the source images based on the comparison of the outputs of the PCNN. Experimental results show that the proposed method outperforms some previous fusion methods, both in visual effect and objective evaluation criteria. (c) 2007 Elsevier B.V. All rights reserved.

引用

页码：1123 / 1132

页数：10

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