Abstract: A local image fusion algorithm based on dimension reduction technology is proposed and used to fuse two gray images. The method combines image fusion technique with dimension reduction technology and divides images to be fused, represents image blocks as related matrix, it uses MDS(multidimensional scaling) method to process the related matrix to get the region of interest image, and fuses the region of interest image with wavelet method so that the images to be fused are smaller than the former. The experiment results demonstrate that the algorithm can improve the speed of processing and make a contribution to ATR and change detection process.

Key words: non-linear dimension reduction, region of interest image, local image fusion

摘要： 给出了一种基于降维技术的局部融合算法，并将其用于两幅灰度图像的融合。该算法将现有的图像融合技术和非线性降维技术融合，通过对待融合图像进行分块、关联矩阵表示、MDS降维处理，得到待融合图像的感兴趣区域块，对这些感兴趣区域块进行基于小波的局部融合，使图像变小。通过实验证明，该算法提高了融合速度，有利于目标识别、变换检测等后续处理。

关键词: 非线性降维, 图像感兴趣区域, 图像局部融合

CLC Number: 

• TP181