细化参数的对数极坐标变换图像纹理特征提取算法

提出一种细化参数的对数极坐标变换图像纹理特征提取算法，可以有效地消除旋转、缩放和平移等几何形变的影响．在特征提取过程中，通过自相关图像消除平移的影响，引入细化参数的对数极坐标变换消除旋转和伸缩的影响．在图像检索过程中，将不完全树型小波变换所得的特征矢量，通过欧式距离来度量图像之间的相似度．实验表明，本算法对发生几何形变的纹理图像检索平均正确率达81．05％左右，较之传统算法能取得更好的检索效果。

Robust feature extraction arithmetic based on parametrical log-polar transformation for texture image

This paper proposed a new type of feature extraction arithmetic for texture image, based on parametrical log-polar translation. This arithmetic is robust to geometric distortions. During the feature extraction, the autocorrelation image was introduced to eliminate the effect of translation, while the improved log-polar was used to eliminate the effects of rotation and scaling. In the retrieval process, a set of incomplete tree structured wavelet transform of the log-polar transformed autocorrelation image w...