摘要
提出了基于形态学操作和小波包变换的红外中波细分波段图像的融合方法。通过形态学腐蚀膨胀操作、加权叠加实现两幅细分波段图像的局部融合,消除第一细分波段图像的太阳照射饱和区;利用二维离散小波包变换对局部融合图像和第二细分波段图像进行全局融合,将两幅图像的细节信息综合起来,使图像更清晰。实验结果表明,通过两次融合的图像消除了太阳照射造成的饱和区,同两幅原图像相比,局部标准偏差和局部熵分别增加了21.06%和9.20%,证明了融合方法的有效性。
Fusion method of subdivision band images of mid-wave infrared is presented based on both morphology processing and wavelet packet transform. Local fusion of two subdivision band MWIR images is implemented with morphologic erosion and dilation processing and weighted stacking method in order to eliminate saturating regions in the first subdivision band image that are done by sun irradiation. And global fusion between local fused image and the second subdivision band image is achieved by two dimension discrete wavelet packet transform in order to combine detail information of two images and to get legible results. The experimental results show that local standard deviation and local entropy of image obtained by twice fusion, compared with two original images, increase by 21.06% and 9.20% respectively, which proves the validity of fusion method above.
出处
《光电工程》
CAS
CSCD
北大核心
2010年第9期21-26,共6页
Opto-Electronic Engineering
基金
山西省回国留学人员科研资助项目(2009-09-68)
中北大学科学基金项目(20090604)
电子测试技术重点实验室青年基金项目
关键词
中波红外
图像融合
形态学操作
小波包变换
mid-wave infrared （MWIR）
image fusion
morphology processing
wavelet packet transform
