1) second generation contourlet transform
第二代轮廓波变换
1.
The second generation contourlet transform based de-noising method is proposed,its threshold selection is determined by impulse response of every multi-scale multi-direction followed by wiener adapted filter.
提出一种基于第二代轮廓波变换的消噪方法,该方法在阈值选取上采用基于自适应冲激响应的多尺度多方向阈值,在硬阈值处理之后采用自适应维纳滤波。
2.
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。
2) first generation contourlet transform
第一代轮廓波变换
3) second generation wavelet transform
第二代小波变换
1.
Knock detection for gasoline engines based on the second generation wavelet transform;
第二代小波变换在汽油机爆震分析中的应用
2.
Second generation wavelet transform and its application in fault diagnosis;
第二代小波变换及其在故障诊断中的应用
3.
Denoising of the pulse signal based on the second generation wavelet transform
基于第二代小波变换的脉搏信号去噪处理
4) Contourlet transform
轮廓波变换
1.
De-nosing capability of a filter based on contourlet transform;
基于轮廓波变换的滤波器消噪性能
2.
Mapping based complex contourlet transform texture image retrieval system
基于映射的复轮廓波变换纹理图像检索系统
3.
Sample noise response method used to determine subband threshold factors of contourlet transform denoising is proposed.
提出了适用于轮廓波变换消噪中确定子带阈值收敛因子的样本噪声响应法。
5) wavelet transform profilometry
小波变换轮廓术
1.
Analyzing wavelet transform profilometry in the restraining CCD nonlinear characteristic
小波变换轮廓术抑制CCD非线性的分析
2.
By the wavelet transform profilometry,the height distribution of an object can be obtained by calculating the wavelet coefficient of the deformed fringe pattern at the "ridge" position even there are some frequency overlaps between the fundamental frequency and the higher-order spectra.
结果表明,只有在无周期内瞬时频谱混叠,即任意位置处物体瞬时高度变化满足h/xx=b<1/3条件时,和不存在抽样引起的周期间瞬时频谱混叠的抽样条件下(即一个周期内的抽样点数m≥4时),小波变换轮廓术才能正确恢复被测物体的三维面型。
6) basic contourlet transform
基本轮廓波变换
1.
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。
补充资料：Radon变换和逆Radon变换
Radon变换和逆Radon变换
X线物理学术语。CT重建图像成像的主要理论依据之一。1917年澳大利亚数学家Radon首先论证了通过物体某一平面的投影重建物体该平面两维空间分布的公式。他的公式要求获得沿该平面所有可能的直线的全部投影(无限集合)。所获得的投影集称为Radon变换。由Radon变换进行重建图像的操作则称为逆Radon变换。Radon变换和逆Radon变换对CT成像的意义在于，它从数学原理上证实了通过物体某一断层层面“沿直线衰减分布的投影”重建该层面单位体积，即体素的线性衰减系数两维空间分布的可能性。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条