A framework of region-based dynamic image fusion
A framework of region-based dynamic image fusion
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DOI：
10.1631/jzus.2007.a0056
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发表时间：
2007
影响因子：
3.2
通讯作者：
Zhong-hua Wang;Zheng Qin;Yu Liu
中科院分区：
文献类型：
--
作者：
Zhong-hua Wang;Zheng Qin;Yu Liu
提出了一种新的基于区域的动态图像融合框架。首先，将目标检测技术应用于动态图像（图像序列），将图像分割成不同的目标和背景区域。然后在不同的区域采用不同的融合规则，尽可能地保留目标信息。另外，在多分辨率分析过程中，采用了方向可调不可分离小波框架变换，使系统具有良好的方向性和平移不变性。实验结果表明，与其他图像融合方法相比，该方法具有更好的目标识别能力，并保留了清晰的背景信息。
A new framework of region-based dynamic image fusion is proposed. First, the technique of target detection is applied to dynamic images (image sequences) to segment images into different targets and background regions. Then different fusion rules are employed in different regions so that the target information is preserved as much as possible. In addition, steerable non-separable wavelet frame transform is used in the process of multi-resolution analysis, so the system achieves favorable characters of orientation and invariant shift. Compared with other image fusion methods, experimental results showed that the proposed method has better capabilities of target recognition and preserves clear background information.