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.
出处
《科学技术与工程》
北大核心
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
