Review of Image Fusion Based on Pulse-Coupled Neural Network

被引：38

作者：

Wang, Zhaobin ^{[1
]}

Wang, Shuai ^{[1
]}

Zhu, Ying ^{[2
]}

Ma, Yide ^{[1
]}

机构：

[1] Lanzhou Univ, Sch Informat Sci & Engn, Lanzhou 730000, Peoples R China

[2] Gansu Acad Sci, Inst Biol, Lanzhou 730000, Peoples R China

来源：

ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING | 2016年 / 23卷 / 04期

基金：

美国国家科学基金会;

关键词：

ALGORITHM; PCNN; CONTOURLET;

D O I：

10.1007/s11831-015-9154-z

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Recently, many researchers have paid their more attention to image fusion technique based on pulse coupled neural network (PCNN). In order to make the researchers to rapidly understand the research development of image fusion based on PCNN, it is systematically reviewed in the paper. On the basis of statistical analysis on published papers, firstly, PCNN and some modified models are introduced. Then we review the PCNN's applications in the field of image fusion. Subsequently, some existing problems are summarized, while we give some suggestions for the future research.

引用

页码：659 / 671

页数：13

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