该变换引入了各向异性分解方式，由此得到的小波基在各个方向上尺度可以不同，并具有更好的方向性。
By introducing anisotropic decomposition into the transform, the associated wavelet bases may have different sizes in different dimensions, and better directivity.
针对离散小波变换具有平移变化性和弱方向性的特性，本文提出了一种基于双树复小波变换(DT- CWT)统计模型的医学图像纹理检索方法。
Presents a novel texture retrieval approach of medical images based on statistic model by Dual-Tree Complex Wavelet Trans - form (DT-CWT) for the shift sensitivity and poor directionality of DWT.
对方向性强的纹理，在进行旋转变换后，可以提高纹理分类的正确率。
The result suggested that the correct classification ratio be increased by rotative transformation for the textures with intense direction.
对方向性强的纹理，在进行旋转变换后，可以提高纹理分类的正确率。
The result suggested that the correct classification ratio be increased by rotative transformation for the textures with intense direction.
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