摘要
提出了一种基于目标区域的融合方法.将原图像分为目标区域和背景区域,在利用àtrous小波算法分解图像的基础上,分别对目标区域、背景区域以及两区域间的边界部分进行不同的融合处理得到融合后小波系数,最后经过小波逆变换得到融合图像.实验结果表明该方法可获得较理想的融合图像,其融合结果优于基于像素和基于窗口的融合方法.
A novel approach using some information to define the regions of interest is proposed for combining multisensor images. Firstly, the original images are separated into object region and background region. Then based on using the à trous wavelet transform to decompose the original images, the fused coefficients are obtained by performing different fusion process to object region, background region and region boundaries between object region and background region. Finally, the fused image can be constructed by applying the inverse transformation. Experiments results show that the proposed approach outperforms the pixel-based and window-based image fusion methods.
出处
《中国激光》
EI
CAS
CSCD
北大核心
2005年第3期351-355,共5页
Chinese Journal of Lasers
基金
国家863计划(2001AA135091)
上海市科技攻关重大项目(02DZ15001)
高校博士点基金(20020248)
航空科学基金(02D57003)
国家教育部科学技术研究重点项目(01072)资助课题.
