构造了由非抽样塔式分解和方向滤波器组实现的冗余轮廓波变换。
The redundant contourlet transform implemented by undecimated pyramidal decomposition and directional filter bank is proposed.
该变换引入了各向异性分解方式，由此得到的小波基在各个方向上尺度可以不同，并具有更好的方向性。
By introducing anisotropic decomposition into the transform, the associated wavelet bases may have different sizes in different dimensions, and better directivity.
利用支持向量机构造的支持向量值轮廓波变换是一种具有多尺度、多方向和平移不变性的图像表达方法。
Support vector value contourlet transform, which is constructed by support vector machine, is a new kind of image representations which is of multi-scale, multi-direction and shift-invariance.
但是，分割尺寸越小，重构图像的块状效应越明显，而且分割越小图像所表示的方向也越少，效果也近似于小波变换。
Nevertheless, the smaller size of sub image also results to clearer block effect, and the fusion results achieved by ridgelet will also approximate to wavelet transform.
针对离散小波变换具有平移变化性和弱方向性的特性，本文提出了一种基于双树复小波变换(DT- CWT)统计模型的医学图像纹理检索方法。
Presents a novel texture retrieval approach of medical images based on statistic model by Dual-Tree Complex Wavelet Trans - form (DT-CWT) for the shift sensitivity and poor directionality of DWT.
针对波阻抗方向继电器利用初始电压和电流行波的比值构成的特点，提出了基于小波变换的继电器算法。
According to the property that the surge impedance relay is realized by the ratio of voltage and current travelling waves, the relay's algorithm based on wavelets is present.
由于复数小波具备平移不变性和方向选择性等优点，使得它在图像去噪中可以克服离散正交小波变换去噪中存在的毛刺现象。
The merit of both shift invariance and directional selectivity enables the complex wavelet to overcome the artifacts in the discrete orthonormal wavelet denoising.
比较了方向小波变换和传统小波变换在图像边缘检测中的不同之处。分析得出方向小波变换更符合图像的方向、纹理特征，因而更能反映图像的边缘信息。
Our analysis shows that directional wavelet transforms can better reflect the edge information of images because they better corresponds to the characteristics of image direction and texture.
充分利用双树复小波变换的旋转不变性、良好的方向选择性以及有限的冗余等优点，将其有效地应用于纹理特征提取过程中。
The excellent characteristics of rotation-invariance, good orientation selection and finite redundancy are fully utilized, and applied in texture feature extraction.
对边缘围线的方向曲线进行多尺度小波变换，利用变换结果的局部最大值信息检测和定位出图像角点。
Based on the multi scale wavelet transform of the orientation curves we can utilize the information of local maximum positions to detect and locate the corners. Experimental res...
该算法首先对输入图像进行小波变换，在对小波变换后的垂直方向上的高频分量图进行二值化及规则限制。
Firstly, the input image is decomposed using wavelet. Then sub-image which corresponds to high frequency in vertical direction is binarised. Finally, prior knowledge is used to locate the text region.
原始图像数据经过小波变换后，根据子带系数之间在空间上和方向上所呈现出的带间相似性，将像素集合重新定义为集合树。
After the DWT of the original image data, and according the similarity between the band shown by subband coefficients in the space and the direction, the collection of pixels is redefined as set tree.
最后通过与小波变换的应用对比、分析，指出了轮廓波的应用潜力之所在，以及更进一步的研究方向。
The applications of contourlets, comparing with wavelets, are also introduced, and comment on the potential of contourlets for these applications in the future is given.
最后通过与小波变换的应用对比、分析，指出了轮廓波的应用潜力之所在，以及更进一步的研究方向。
The applications of contourlets, comparing with wavelets, are also introduced, and comment on the potential of contourlets for these applications in the future is given.
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