基于Gabor滤波系数高阶矩的图像检索

在分析Gabor滤波器进行图像纹理特征提取的基础上,提出了利用多尺度和多方向Gabor滤波系数的高阶矩提取图像特征进行CBIR的方法,利用滤波系数的方差给出了基于Gabor滤波组提取的图像纹理特征的平滑度和纹理一致性算法,并采用四个尺度和六个方向的滤波系数的能量、方差、峰态、平滑度和一致性组成了CBIR特征向量.采用Brodatz纹理库和Corel图像库中的典型图像进行了对比实验.实验证明,提出的方法比传统的Gabor滤波进行CBIR具有更高的查准率.

Image Retrieval Based on the High-order Moments of Gabor Filtering Coefficients

A new Content-Based Image Retrieval(CBIR)method based on the high-order moments of multi-scale and multi-direction Gabor filtering coefficients was presented and the algorithm for measuring the features of smoothness and consistency of texture which was extracted by a Gabor filter bank was given by using the variance of filtering coefficients.The feature vector for CBIR is composed of the values of the energy,variance,kurtosis,smoothness and consistency of filtering coefficients in 4 scales and 6 directions.The typical images from Brodatz texture database and Corel images were utilized in the contrast experiments,which show that the proposed method gives better precision than traditional Gabor filtering method.