基于Log-Gabor滤波的小波显微图像融合  

Wavelet transform microscopy images fusion based on Log-Gabor filter

作　　者：陈颖[1,2] 蒋远大[1] 孙志斌[1] 

机构地区：[1]中国科学院空间科学与应用研究中心,北京100190 [2]中国科学院研究生院,北京100049

出　　处：《计算机工程与设计》2010年第6期1316-1318,1323,共4页Computer Engineering and Design

基　　金：国家自然科学基金项目(40804032)

摘　　要：针对现有图像融合方法对纵向覆盖范围较大的显微样本的图像融合效果不理想的问题,提出了一种序列显微图像融合方法。该方法以小波变换方法为基础,利用区域Log-Gabor滤波方法设计尺度系数的融合规则,既使融合后的图像不会产生块效应,又避免了以往的小波方法造成的过度模糊现象。讨论了方法中的参数设置对融合结果的影响,实验结果表明,与其它融合方法相比该方法的融合效果更好。To overcome shortcomings of performed image fusion algorithms in fusing images of micro-sample with high vertical extent, a new series microscopy images fusion algorithm is proposed.This algorithm is based on wavelet transform, and Log-Gabor filter method based on region is used to design the fusion rule of approximate coefficients.This algorithm could prevent the blocking effect and avoid the blurry phenomenon of previous wavelet algorithm.Influences of different parameter settings on performance of fusion are investigated, and the result of experiment, which is compared to other well-known algorithms, indicated that this algorithm is better than several other algorithms.

关 键 词：图像融合 显微图像 小波变换 LOG-GABOR滤波 融合规则 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]