DD-DT CWT 双密度双树复小波变换
Dual-Tree Complex Wavelet Transform(DT-CWT) can provide shift invariance and directional selectivity.
对偶树复小波变换具有良好的方向选择性和平移不变性。
参考来源 - 基于对偶树复小波变换的纹理特征提取及分割·2,447,543篇论文数据，部分数据来源于NoteExpress
Experimental results show that this method of extraction of features from DT-CWT domain can representation image better and had a good image retrieval result.
实验证明，这种在DT - CWT域提取的联合特征的方法对图像的描述能力相比基于小波域更强，更有利于图像检索。
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.
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。
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