离散小波变换在医学图像中的应用

本文以三维医学体数据作为研究对象，充分利用离散小波变换，对其进行多分辨率分解，把三维医学体数据分解成三个不同方向上的子医学体数据。实验结果表明，三维医学体数据经过离散小波变换后被分割成八个子频带，其主要能量和特征集中在低频子带系数中，可以用来提取特征向量构造零水印。

Discrete wavelet transform in medical image application

In this paper,the three-dimensional medical volume data is used as the object of study,and the discrete wavelet transform is used to decompose the three-dimensional medical volume data.Three-dimensional medical volume data is decomposed into three sub medical data in different directions.The experimental results show that the three-dimensional medical volume data is divided into eight subbands by discrete wavelet transform.And the main energy and features are concentrated in the low frequency subband coefficients,which can be used to extract feature vectors to construct zero-watermarking.