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dtcwt.tar
- Nick Kingsbury DT-CWT的C代码实现 C/C++ translation by Peter Meerwald
dt_cwt__texture.rar
- 基于纹理的数字图像检索MATLAB代码,不错.,Texture-based Image Retrieval System
dt-dwt_J.rar
- 双数复数小波变换的Matlab程序的J部分，全部解压到同一文件夹下直接调用函数,Double the number of complex wavelet transform of the J part of Matlab procedures, all extract to the same folder under the direct call function
dt-cwt
- 它不仅具有Gabor变换的六个方向选择性,而且有更小的冗余度-It is not only selective Gabor Transform six directions, but also smaller redundancy
dtcwt_toolbox4_3
- 双树复小波变换工具箱,能够帮你实现双树复小波变换的分解-dt-cwt toolbox
dtcwpt
- 2-band discrete wavelet transform (DWT) Dual-Tree Complex Wavelet Packet-The 2-band discrete wavelet transform (DWT) provides an octave-band analysis in the frequency domain, but this might not be ‘optimal’ for a given signal. The discrete wave
dt-dwt_F
- 双树复数小波变换的Matlab程序的F部分，全部解压到同一个文件夹下后可直接调用函数-Dual-Tree Complex Wavelet Transform Matlab for the F part of the procedure, all extract to the same folder can be a direct call function
dt_cwt_texture_retrieval
- 在Matlab下，使用二元树复小波进行图像检索-Texture retrieval using DT CWT
4-DT-CWT--BASED-SEGMENTATION-ALGORITHM-FOR-COLOR-
- segmentation of color images
ADAPTIVE-IMAGE-FUSION-ALGORITHM
- 针对低可见光图像和红外图像的特点,提出一种基于DT-CWT的自适应图像融合算法.该算法具有好的平移不变性和方向选择性,更适合于人类视觉.先对源图像作双树复小波变换,充分考虑各尺度分解层的系数特征,对 低通子带引入免疫克隆选择,根据统计评价准则定义亲和度函数,自适应获得最优融合权值 对高通子带则根据人类视觉特性定义局部方向对比度,并作为融合准则,突出和增强了各源图像的对比度与细节信息.实验结果表明: 与基于小波的融合结果相比较,本文的融合算法自适应性和鲁棒性更强,较好地保护和显示了源图像中
DT-CWTcode
- CWT变换源码，很好的算法程序，希望对大家有用。-CWT Transform source code
wavelete_WA
- fusing images by using DT-CWT method with weight average fusion rule
DT-CWT-fangcha
- 基于双复数小波变换的多聚焦图像融合 融合规则：方差-Multi-focus Image Fusion Based on Dual-Tree Complex Wavelet Transform fusion rule：variance
dt_cwt-texture
- 基于纹理特征的图像检索源码，用双树复小波（DT－CWT）三级分解提取图像的纹理特征-Texture-based image retrieval source code, using dual tree complex wavelet (DT-CWT) to extract texture features three levels of decomposition
DT-CWT
- the edges and the other curved shapes in the images to be fused. The overall execution time of the fusion process is very low compared with the other fast algorithms such as Discrete Wavelet Transform (DWT) fusion algorithm.