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1)  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。
2)  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。
3)  Nonsubsampled contourlet transform
非下采样Contourlet变换
1.
SAR image despeckling using statistical priors in nonsubsampled contourlet transform domain;
统计先验指导的非下采样Contourlet变换域SAR图像降斑
2.
Image diffusion denoising based on spectral graph theory and nonsubsampled Contourlet transform
基于非下采样Contourlet变换和谱图理论的扩散去噪
3.
Medical image retrieval based on nonsubsampled Contourlet transform and Zernike moments
基于非下采样Contourlet变换和Zernike矩的医学图像检索
4)  non-subsampled Contourlet transform
非下采样Contourlet变换
1.
According to the interscale and intrascale dependencies of the coefficients in the non-subsampled Contourlet transform domain,and considering the change of coefficient\'s aggregation with different directional subbands in the same scale,a novel non-subsampled Contourlet transform denoising scheme using the directional property(ADNSCT) is proposed.
依据非下采样Contourlet分解系数尺度内与尺度间的相关性,考虑到相同尺度内不同方向上系数分布的聚集性依赖图像自身发生变化,提出一种利用方向特性实现非下采样Contourlet变换阈值去噪策略。
5)  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。
6)  Nonsubsampled Contourlet Transform (NSCT)
非下采样Contourlet变换(NSCT)
1.
The image fusion algorithms based on multi-resolution analysis such as Mallat wavelet transform, lifting wavelet transform and nonsubsampled Contourlet transform (NSCT) proposed here to the fusion image are researched.
本文主要针对基于小波分析的像素级图像融合算法进行探索,研究了基于Mallat小波变换、提升小波变换以及非下采样Contourlet变换(NSCT)的像素级图像融合算法。
补充资料:非想非非想处天
1.佛教语。即三界中无色界第四天。此天没有欲望与物质﹐仅有微妙的思想。
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