文中的方法是把图像分块，小波分解得到低频分量、高频分量，然后计算每一块的对比度，把图像块划分为清晰块、模糊块，把清晰块和模糊块相邻的区域定义为边界区域，融合时，直接选取清晰块作为融合后的相应块，对于边界区域，在小波分解的基础上采用基于对比度的像素选取的方法进行处理。-Paper, the method is to image segmentation, wavelet decomposition are low frequency, high frequency components, then

一种基于非负矩阵分解和红外特征的图像融 合方法，实现源图像的目标区域和背景区域分别融合。-A proposal method based on non-negative factorization (NMF) and infrared feature is presented for infrared and visual images fusion, which fuses the target region and background respectively .

图像分割是指把图像分解成各具特性的区域并提取出感兴趣目标的技术和过程，它是计算机视觉领域的一个重要而且基本的问题，分割结果的好坏将直接影响到视觉系统的性能。-Image Segmentation is the technique and the process to segment an image into different sub-mages with different characters and to extract the interested objects from the i

其中一个为这经验模式分解的任务（EMD）是潜在有用的非参数信号去噪 为此小波阈值一直占主导地位的技术的区域多年。-One of the empirical mode decomposition of this task (EMD) is potentially useful non-parametric signal wavelet threshold de-noising for many years to this end has been the dominant technology i