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1)  completed non-sampled
完全不采样contourlet
2)  NSCT
非采样Contourlet
1.
On the basis of the current image fusion algorithm, this thesis has analyzed and researched some typical image fusion algorithms, and Based on the properties of NonSubsampled Contourlet Transform, shift invariance, multiscale and multidirectional expansion, an image fusion algorithm based on the Nonsubsampled Contourlet Transform (NSCT) is proposed.
本文主要研究内容是基于非采样Contourlet变换的图像融合技术研究。
3)  nonsubsampled contourlet
非下采样Contourlet
1.
The nonsubsampled contourlet(NSCT) is a shift-invariant directional multiresolution image representation.
非下采样Contourlet变换(NSCT)是平移不变的多级定向图像表示方法,不仅克服了小波变换非一维奇异性最优基的缺点,而且其平移不变性使边缘保持能力优于Contourlet;由于APDCT(全相位DCT变换)在子带分解中表现出优异的性能,所以提出了基于全相位分级的NSCT变换方法。
2.
The nonsubsampled Contourlet(NSCT) not only overcomes the disadvantage of wavelet,the nonoptimal basis for one-dimensional singularity,but also improves the edge preservation for the shift-invariance.
非下采样Contourlet变换克服了小波变换非一维奇异性最优基的缺点,而且其平移不变性使其边缘保持能力优于Contourlet。
3.
An algorithm for pavement cracks detection based on nonsubsampled contourlet transform(NSCT) and morphology is proposed.
路面图像的复杂性及裂缝信息的弱信号性导致对路面裂缝进行检测非常困难,为此提出一种基于非下采样contourlet变换(NSCT)和图像形态学的路面裂缝检测算法。
4)  incomplete sample
不完全样本
1.
The PP plot of an incomplete sample is introduced.
首先介绍了不完全样本的PP图,并比较了PP图和Kolmogorov-Smirnov检验的功效函数,得出PP图是更具解释性的拟合优度检验图。
5)  nonsubsampled contourlet transform
非降采样Contourlet变换
1.
A new image de-noising method is proposed based on nonsubsampled contourlet transform(NSCT) with half-soft threshold.
提出一种基于非降采样Contourlet变换(NSCT)和半软阈值的图像去噪方法。
6)  nonsubsampled contourlet transform(NSCT)
非下采样contourlet变换
1.
An image fusion method based on nonsubsampled contourlet transform(NSCT)is presented,which uses the nonsubsampled pyramids(NSP)and the nonsubsampled directional filter banks(NSDFBs)to decompose the source images in a multi-scale and multi-direction way.
摘要:提出了一种基于非下采样contourlet变换(NSCT)的多分辨率图像融合方法,通过非下采样金字塔(NSP)和非下采样方向滤波器组(NSDFB)实现对图像的多尺度多方向分解。
2.
A fusion algorithm based on Nonsubsampled Contourlet Transform(NSCT)and Pulse Coupled Neural Network(PCNN)was proposed.
提出一种基于非下采样contourlet变换(NSCT)与脉冲耦合神经网络(PCNN)的图像融合算法。
3.
This method was to obtain the value of a threshold automatically using the max signal-to-noise ratio and made different directions multiscale products of high frequency coefficient in order to detect edge of SAR images in NonSubsampled Contourlet Transform(NSCT)domain.
该方法利用信噪比最大自动选取阈值,在非下采样Contourlet变换(NSCT)域中,进行不同方向高频系数多尺度乘积以达到SAR图像检测边缘。
补充资料:被动式大气采样器
分子式:
CAS号:

性质:无需动力,通过气体扩散采集气体污染物的一种采样装置。该采样品是根据气体扩散原理和选择吸收的特点设计而成的。其结构由三部分构成(见图示)。A:上盖。上面放置浸渍采样膜。B:圆环。为气体扩散通道;C:带孔下盖。放不锈钢网和聚四氟乙烯微孔滤膜。整个采样器可放入筒状套匣,作为贮备容器。适用于各种场所的空气监测之用;尤其在无动力供给的边远、山岭地区更为适用。采样周期可长达1~2个月。所得污染物为在采样时间区段内空气中的平均浓度。

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