多方向多尺度变换能以更稀疏的方式表示图像的边缘和纹理等几何特征，有利于图像压缩。
The proposed transform could represent the geometrical features such as edges and texture more sparsely, which is of great benefit to image compression.
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.
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...
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...
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