A second generation contourlet transform based texture image retrieval system is proposed.
提出了一种基于第二代轮廓波变换的纹理检索系统的实现方法。
A fusion algorithm for infrared and visible images using Non-Subsampled Contourlet Transform (NSCT) is proposed.
提出了一种基于非抽样轮廓波变换的红外与可见光图像融合算法。
The redundant contourlet transform implemented by undecimated pyramidal decomposition and directional filter bank is proposed.
构造了由非抽样塔式分解和方向滤波器组实现的冗余轮廓波变换。
Referring to the low retrieval rate of basic contourlet transform, a Non-subsampled Contourlet Transform (NSCT) texture image retrieval system is proposed.
针对基本轮廓波变换纹理检索系统检索率较低的问题，提出了一种无下采样轮廓波变换（NSCT）纹理图像检索系统。
An algorithm of SAR image denoising in nonsubsampled contourlet transform (NSCT) domain based on maximum a posteriori (MAP) and non-local (NL) restriction is proposed.
提出一种基于最大后验和非局域约束的非下采样轮廓波变换域SAR图像去噪方法。
A large number of simulation experiments show that the coefficients of anti-aliasing Contourlet transform is accorded with the GGD model at different decomposition level.
大量仿真实验表明，在不同的分解级，抗混叠轮廓波变换的每个子带系数都是符合GGD模型的。
However, the original contourlet transform has a certain redundancy and lacks translation invariance, it tends to have its limitation in the applications such as image processing.
但是，原始的轮廓波变换由于采用拉普拉斯塔式变换而存在一定的冗余度，并且缺乏平移不变性，因此在图像处理等应用中具有其局限性。
For visualization and contrast of IR images are weak, this paper proposed an algorithm for infrared and visible images fusion using wavelet-based contourlet transform (WBCT) and region energy.
针对红外图像可视化程度弱、对比度低的问题，提出一种基于轮廓小波变换和区域能量的红外与可见光图像融合算法。
Support vector value contourlet transform, which is constructed by support vector machine, is a new kind of image representations which is of multi-scale, multi-direction and shift-invariance.
利用支持向量机构造的支持向量值轮廓波变换是一种具有多尺度、多方向和平移不变性的图像表达方法。
Support vector value contourlet transform, which is constructed by support vector machine, is a new kind of image representations which is of multi-scale, multi-direction and shift-invariance.
利用支持向量机构造的支持向量值轮廓波变换是一种具有多尺度、多方向和平移不变性的图像表达方法。
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