计算机技术与发展2012，Vol.22Issue(2)：57-60,4.
基于非抽样Contourlet变换的多聚焦图像融合算法
Multi-Focus Image Fusion Algorithm Based on Nonsubsampled Contourlet Transform
冯太平 1闫仁武1
作者信息
- 1. 江苏科技大学计算机科学与工程学院,江苏镇江212003
- 折叠
摘要
Abstract
The principle of nonsubsampled Contourlet transform and the advantage of multi-scale,localization directionality and anisotro-py are studied in the paper. A new multi-focus image fusion algorithm based on NSCT is developed. Firstly,two different multi-focus source images are decomposed by NSCT. Secondly,different fusion rules are applied in the low and banpass subband coefficients. A new fusion algorithm based on the gray morphology grad operator is applied in lowpass subbands and the consistency check is proposed. The regional energy fusion rule is applied in highpass subbands. Finally,the fused image is reconstructed by the inverse NSCT. The experimental results show that,compared with other algorithms,this fusion method can retain the information and features of source more effectively.关键词
图像融合/非抽样Contourlet变换/形态学/多聚焦图像Key words
image fusion/nonsubsampled Contourlet transform/morphology/multi-focus image分类
信息技术与安全科学引用本文复制引用
冯太平,闫仁武..基于非抽样Contourlet变换的多聚焦图像融合算法[J].计算机技术与发展,2012,22(2):57-60,4.
