曲波变换,curvelet transform
1)curvelet transform曲波变换
1.Remote sensing image fusion based on curvelet transform;基于曲波变换的遥感图像融合研究
2.Noise elimination method based on curvelet transform;基于曲波变换的地震数据去噪方法
3.Fusion of hyperspectral images based on second generation curvelet transform and pulse-coupled neural networks;基于二代曲波变换和PCNN的高光谱图像融合
英文短句/例句

1.Image Denoising Method Based on Curvelet and Wavelet Transform基于曲波变换和小波变换的图像去噪算法
2.Fourier-Curvelet Transform Combined Image Restoration组合傅里叶变换与曲波变换的图像复原
3.Watershed Algorithm Based on Curvelet Transform and Its Application基于曲波变换的分水岭算法及其应用
4.Algorithm of adaptive image de-noising based on curvelet transform基于曲波变换的自适应图像去噪算法
5.The Enhancement of Molybdenum Target X-ray Image Based on Wavelet Transform and the Second Generation Curvelet Transform基于小波变换和二代曲波变换的乳腺钼靶X片图像增强
6.Video shot detection algorithm based on curvelet transform基于曲波变换的渐变镜头转场检测算法
7.Seafloor Sediments Classification of Side-Scan Sonar Imagery in Fast Discrete Curvelet Transform Domain曲波变换域侧扫声纳图像海底底质分类
8.Multi-focus Image Fusion Scheme Based on Curvelet Transform一种使用曲波变换的多聚焦图像融合方法
9.Nonlinear Image Contrast Enhancement Based on Curvelet Transform基于曲波变换的图像非线性对比度增强
10.Image fusion algorithm using Curvelet transform based on the edge detection一种基于边缘的曲波变换图像融合方法
11.Study on Approach of Remote Sensing Image Fused Based on Lifting Wavelet Decomposable Curvelet Transformation基于提升小波分解曲波变换的多源遥感图像融合方法研究
12.PALMPRINT RECOGNITION BASED ON DISCRETE CURVELET TRANSFORM AND SUPPORT VECTOR MACHINE基于离散曲波变换和支持向量机的掌纹识别方法
13.An Algorithm for Multimodal Biometric Recognition Based on Feature Level and the Second-Generation Curvelet Transform基于特征层和二代曲波变换的多模生物特征融合识别方法
14.Image fusion algorithm of the hyper-spectral remote sensing appling to the survey of land utilization based on a curvature-wave transformation曲波变换的高光谱遥感图像融合方法在土地利用调查中的应用
15.Joint application of wavelet transform and Walsh transform for automatic segmentation of well logs小波变换和沃尔什变换在测井曲线分层中的联合应用
16.The high-power TE_(01)-TM_(11) mode converter in bent circular waveguide高功率弯曲圆波导TE_(01)-TM_(11)模式变换分析
17.Background Suppression for Infrared Dim Target Detection Based on Second Generation Curvelet Transform基于二代曲线波变换的红外弱小目标背景抑制
18.De-noise Processing of Wavelet Transform in Free-form Surface Reconstruction自由曲面重构中的Hilbert扫描-小波变换去噪处理
相关短句/例句

curvelet transform曲线波变换
1.By utilizing the excellent characteristics of the second generation curvelet transform,a method of background suppression is presented for infrared dim target detection based on the second generation curvelet transform after discussing several classical methods.在分析几种常用背景抑制方法的基础上,利用二代曲线波变换具有的优良特性,提出一种基于二代曲线波变换的红外弱小目标背景抑制方法。
3)fast Curvelet transform快速曲波变换
4)wavelettransform energydistribution curve小波变换能量分布曲线
5)Fast Discrete Curvelet Transform(FDCT)快速离散曲波变换
1.Using Undecimated Wavelet Transform(UDWT) and Fast Discrete Curvelet Transform(FDCT) respectively for coding noisy image,applying quadtree decomposition to the result of FDCT approach and combining the attributes of both transforms by analyzing the result of quadtree decomposition,it is possible to get better effect.针对应用曲波变换进行图像处理过程中所产生的伪影现象,提出一种基于快速离散曲波变换和小波变换的联合去噪算法。
6)fast discrete curvelet transform (FDCT)快速离散曲波变换(FDCT)
延伸阅读

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。