Region-based image fusion with tree-structure wavelet decomposition and multi-resolution analysis

被引：0

作者：

Feng Shu ^{[1
]}

Jiang Hong ^{[1
]}

Ren Zhang ^{[1
]}

机构：

[1] Beihang Univ, Sch Automat Sci & Elect Engn, Beijing 100083, Peoples R China

来源：

Proceedings of the 2007 Chinese Control and Decision Conference | 2007年

关键词：

image fusion; tree-structure wavelet decomposition; region-based fusion; multi-resolution segmentation;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Based on the tree structure wavelet decomposition, a novel region-based image fusion is developed. The method's essence is tree-structure multi- resolution segmentation. By defining the algorithm about image energy, the original images are decomposed into sub-images. Then all the low-low frequency sub-images of every layer are segmented into different regions. Finally, by using the region information of low-low frequency parts, the fusion of other common layer sub-images is instructed. Simulation experiment shows that the performance of this tree-structure multi-resolution segmentation based on the image fusion method is better than those of the ordinary wavelet-based fusion method and the region-based fusion method only for the segmentation of low-low frequency part of the highest layer.

引用

页码：337 / 340

页数：4