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中文摘要：
为了对尺度和旋转变换下的纹理图像进行正确的分类，将 Radon 变换和 V-系统相结合，提出一种纹理分类的算法。首先利用Radon变换将图像的旋转化为平移，再对Radon变换后的图像进行V-变换；利用V-系统的多小波特性，经过一系列的降采样分解过程得到图像在 V-系统下的各层次能量表达，并将这些能量作为纹理图像的特征描述。由于 V-系统的多小波特性以及 Radon 变换对旋转的消除，使得文中的特征描述在图像的放缩和旋转变换下有较强的鲁棒性。在通用纹理数据库中的纹理分类实验结果表明了该算法的优越性能。
英文摘要：
To classify the scaled and rotated texture images correctly, this paper proposes a new algorithm for texture classification by combining Radon transform and the V-system. We firstly use the Radon trans-form to convert the image rotation into the image translation, and then apply the V-transform on the image obtained after Radon transform. The energies of the image on different levels under the V-system are ex-pressed by performing a series of downsampling process due to the multi-wavelet characteristics of the V-system. These obtained energies are used as the texture feature description. The feature description method in this paper is robust to the image scaling and rotation because of the multi-resolution characteris-tics of the V-system and elimination of rotation by applying Radon transform. Results of the experiments conducted on the standard texture datasets show that the proposed algorithm provides superior performance.
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