Feature-Based Fusion of Dual Band Infrared Image Using Multiple Pulse Coupled Neural Network

作     者：Yuqing He Shuaiying Wei Tao Yang Weiqi Jin Mingqi Liu Xiangyang Zhai 

作者机构：Key Laboratory of Photoelectronic Imaging Technology and SystemMinistry of Education of ChinaBeijing Institute of Technology 

出 版 物：《Journal of Beijing Institute of Technology》 (北京理工大学学报（英文版）)

年 卷 期：2019年第28卷第1期

页      面：129-136页

核心收录：

学科分类：08[工学] 080203[工学-机械设计及理论] 0802[工学-机械工程] 

基　　金：Supported by the National Natural Science Foundation of China(60905012 60572058) 

主　　题：infrared image image fusion dual band pulse coupled neural network(PCNN) feature extraction 

摘      要：To improve the quality of the infrared image and enhance the information of the object,a dual band infrared image fusion method based on feature extraction and a novel multiple pulse coupled neural network(multi-PCNN)is *** this multi-PCNN fusion scheme,the auxiliary PCNN which captures the characteristics of feature image extracting from the infrared image is used to modulate the main PCNN,whose input could be original infrared ***,to make the PCNN fusion effect consistent with the human vision system,Laplacian energy is adopted to obtain the value of adaptive linking strength in *** that,the original dual band infrared images are reconstructed by using a weight fusion rule with the fire mapping images generated by the main PCNNs to obtain the fused *** to wavelet transforms,Laplacian pyramids and traditional multi-PCNNs,fusion images based on our method have more information,rich details and clear edges.