计算机工程与应用2011，Vol.47Issue(35)：210-213,217,5.DOI:10.3778/j.issn.1002-8331.2011.35.059
基于小波变换的PCNN多传感器图像融合
Fusion of multi-sensor images based on wavelet transform and PCNN
摘要
Abstract
For PCNN(Pulse Coupled Neural Network) has particular advantage in image processing,a novel fusion algorithm of multi-sensor image is proposed based on wavelet transform and PCNN.Original images are decomposed by wavelet transform, and the sub-band images at different scales are obtained.A fusion rule is given through making use of synchronous pulse bursts.This method uses SF(Spatial Frequency) of wavelet coefficients at different scales as the linking strength of the corresponding neuron.After the processing of PCNN with the adaptive strength, new fire mapping images in wavelet domain are obtained.According to the fire mapping images,the fusion coefficients are decided by the compare-select operator.The region consistency test is used on the fusion coefficients to obtain the final fusion coefficients.Fusion images are obtained by wavelet inverse transforra.Experimental results illustrate that this algorithm is efficient to integrate important information from the original images and obtains fusion images,which outperforms wavelet,PCNN,and so on both in visual quality and objective evaluation index.关键词
图像融合/脉冲耦合神经网络/小波变换/空间频率/点火映射图Key words
image fusion/pulse coupled neural network/wavelet transform/spatial frequency/fire mapping image分类
信息技术与安全科学引用本文复制引用
薛寺中,周爱平,梁久祯..基于小波变换的PCNN多传感器图像融合[J].计算机工程与应用,2011,47(35):210-213,217,5.基金项目
江苏省自然科学基金(No.BK2008098) （No.BK2008098）
教育部留学人员回国启动基金项目. （）
