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A Way of Image Fusion Based on Wavelet Transform

机译:基于小波变换的图像融合方法

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摘要

In this paper a way of medical image fusion based on wavelet theory is introduced. Medical image fusion have three steps, they are image processing, image registration and image fusion. In the paper, image processing get across multi resolution characteristics of wavelet to denoise, image registration pass the wavelet analysis to gain biggish change point and receive image edge to achieve quick and nice superposable, image fusion use disassumble image to different frequency sub band to save all information to have a perfect fusion. Simulation experiment proved it has advantages of simply calculation, fast superposition and perfect fusion in medical image fusion. It is a direction of medical reacher and clinic iatrology.
机译:介绍了一种基于小波理论的医学图像融合方法。医学图像融合包括三个步骤,分别是图像处理,图像配准和图像融合。本文中,图像处理跨越了小波的多分辨率特性去噪,图像配准通过小波分析获得较大的变化点并接收图像边缘,实现了快速,美观的叠加,图像融合使用了分解图像到不同频率子带来保存所有信息都能完美融合。仿真实验证明,在医学图像融合中具有计算简单,叠加快速,融合完美的优点。它是医疗触手和临床病原学的方向。

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