基于双通道脉冲耦合神经网络的应用研究  

Application and Research Based on Two-channel PCNN

作　　者：郭新榀[1] 段先华[1] 夏加星[1] 

机构地区：[1]江苏科技大学计算机科学与工程学院,镇江212003

出　　处：《科学技术与工程》2012年第34期9225-9233,共9页Science Technology and Engineering

基　　金：江苏省自然科学基金(BK2008411)资助

摘　　要：通过对双通道脉冲神经网络模型的改进,提出了一种邻域SEML激励的自适应双通道脉冲耦合神经网络医学图像融合的新方法。即通过提高模型的性能和脉冲神经网络进行自动化图像处理的能力。首先介绍了双通道脉冲耦合神经网络模型及其原理,然后阐述了基于这一模型的一种新融合算法,最后对本文融合算法以及各传统融合算法得到的实验仿真结果进行了分析。Based on the improvement of two-channel PCNN, a new approach to medical image fusion is intro- duced by using neighborhood spatial frequency inspiring adaptive PCNN, as to improve the quality of its modal and the ability to charge the image of PCNN. First, the modal of two-channel PCNN and its theory are mainly intro- duced. Then, this new method based on the modal is introduced in detail. Finally, all of simulation results accord- ing to kinds of fusion algorithm are analysed.

关 键 词：医学图像融合 双通道 脉冲耦合神经网络 链接强度 空间频域 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]