旋转不变广义粗糙度特征结合自适应加权距离在纹理检索中的应用

针对图像检索时的旋转问题,提出了一种基于Gabor分解的旋转不变广义粗糙度纹理描述子和一种自适应加权距离准则。首先,计算Gabor分解子带的幅度和频率谱,依据多尺度空间局部能量分布、Hurst分形指数、方向差别来计算纹理特征向量;然后采用自适应加权距离作为相似性准则。分别采用旋转纹理库和普通纹理库进行仿真实验,仿真实验结果表明,该算法在两种情况下都取得了较好的检索效果,算法对图像的旋转具有较好的鲁棒性。

Texture Retrieval Based on a Rotation-invariant Generalized Roughness Vector and an Adaptive Weighted Distance

A rotation-invariant generalized roughness vector and an adaptive weighted distance are applied in texture retrieval. Texture image is decomposed into amplitude spectra and frequency spectra based on Gabor wavelet. The rotation-invariant vector is calculated on the basis of the local energy distributions, Hurst parameters and direction differences. Then the adaptive weighted distance is used to measure the similarity. In order to demonstrate the efficiency of this method for the general texture images, the experiments are carried on the rotation texture database and the general texture database respectively. The proposed approach performed well in both of the experiments.