Regarding this, a novel feature level approach to image fusion is proposed based on discrete dyadic wavelet transform for multi-scale image edge detection.
本文提出了一种基于离散二进小波变换的多尺度边缘检测和图像融合的方法，实现了特征级图像融合。
In the methodology part, after a comprehensive literature review, we present an algorithm framework of multi-scale feature detection and fusion for different applications.
研究部分，在充分回顾总结前人工作的基础上，本文提出了一种多尺度融合的特征检测算法框架，以适应不同的应用场景。
There are two research aspects about fusion methods based on multi-scale transform: the multi-scale transform tools and the fusion rules.
基于多尺度分解的融合方法主要从尺度分解方法和融合规则两方面开展研究。
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