1) nonsubsampled complex Contourlet transform
非抽样复Contourlet变换
1.
Construction of nonsubsampled complex Contourlet transform and its application to image denoising
非抽样复Contourlet变换的构造及其图像去噪应用
2) nonsubsampled contourlet transform
非抽样Contourlet变换
1.
The coefficients in different scales and directions are obtained by image decomposition using the nonsubsampled contourlet transform.
研究了小波变换和Contourlet变换的不足,利用非抽样Contourlet变换的多尺度性、多方向性以及平移不变性特征进行彩色图像数字水印。
2.
An algorithm for image enhancement based on the nonsubsampled contourlet transform and adaptive threshold is proposed.
提出了一种基于非抽样Contourlet变换的自适应阈值图像增强算法,首先对图像进行非抽样Contourlet变换得到不同尺度不同方向上的变换系数,然后由变换系数自适应地确定阈值和调整增强函数,并对变换系数做增强处理,最后对增强处理后的变换系数进行反变换,实现图像增强。
3.
However, some foveation points from certain directions may be worthless or interferential for actual recognition, Therefore, a new image foveation points detection method based on nonsubsampled contourlet transform and pulse coupled neural network was proposed, and it took the full advantage of the property of nonsubsampled contourlet transform which could decompose the geome.
为此提出了一种基于非抽样contourlet变换(NSCT)和脉冲耦合神经网络(PCNN)的图像凹点检测方法,该方法在传统凹点检测方法中引入非抽样contourlet变换,充分利用了非抽样contourlet变换对图像处理的高度方向选择性。
3) nonsubsampled contourlet
非抽样Contourlet
1.
Firstly,the features of the image edges are analyzed by using nonsubsampled contourlet,by which the image edges can be classified.
首先,利用非抽样Contourlet变换分析图像边缘点特征进行边缘点分类;然后通过统计正常边缘点与模糊边缘点之间的差异鉴别模糊边缘;最后引入局部清晰度来区分人工模糊与离焦模糊,从而最终标定人工篡改边缘痕迹。
4) 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。
5) 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。
6) 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
补充资料：验收抽样检验和监督抽样检验标准
验收抽样检验和监督抽样检验标准
standards for acceptance sampling and audit sampling inspection
扣nshou ehoUVa叩Jianyan he iiandu eh以JYang iianyanbi0Ozhun验收抽样检验和监督抽样检验标准(stands记sfor accepteLnce sampling and audit saznpling Ins侧沈-tion)有关抽样检验的中华人民共和国国家标准至1卯8年已达20个。其中验收抽样检验标准有巧个，它们是:①《逐批检查计数抽样程序及抽样表》(GBIT2828一1987)，②《周期检查计数抽样程序及抽样表》(G田T282乡一1987)，③《不合格品率的计量抽样检查程序及抽样表》(GBIT6378一1986)，④《计数序贯抽样检查程序及表》(GBZT8()5l一1987)，⑤《单水平和多水平计数连续抽样检查程序及表》(CBIT 5052一1987)，⑥《不合格率的计量标准型一次抽样检查程序及表》(GBIT 8()53一1987)，⑦《平均值的计量标准型一次抽样检验程序及抽样表》(GBIT 8()54一1卯5)，⑧《不合格品率的计数标准型一次抽样检查程序及抽样表》(GB/T13262一1991)，⑨《跳批计数抽样检查程序》(GWT13263一1卯1)，⑩《不合格品率的小批计数抽样检查程序及抽样表》(GB/T 13么抖一I卯I)，⑧《抽样检查导则》(G田T13393一1卯2)，⑩《挑选型计数抽样检查程序及抽样表》(GBIT13夕场一l卯2)，O《粒度均匀散料抽样检验通则》(G脚T 13732一l卯2)，。(孤立批计数抽样检验程序及抽样表》(GBIT 1523乡一l更抖)，0《计量截尾序贯抽样检验程序及抽样表》(GBIT l63()7一l型拓)。 监督抽样检验标准有5个，它们是:①《产品质量监督计数抽样程序及抽样表》(GBIT 14162一1卯3)，②《产品质量平均值的计量一次监督抽样检验程序及抽样表》(GB/T 14灾盯一l臾抖)，③《产品质量监督小总体计数一次抽样检验程序及抽样表)(CBITI，侣2一1卯5)，④《产品质量监督复查程序及抽样方案》(GBIT163C盼一1性尧刹玉)，⑤《产品质量监督计数一次抽样检验程序及抽样方案》(eBzTI科37一l期)。 在上述的抽样检验标准中，较有代表性的抽样检验标准是GBIT2828、GB/T132以、GBIT6378、GBlT8()54，月41，、侧，J
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