局部自相关函数在基于内容的图像检索中的应用

Application of Local Autocorrelation Function in Content-based Image Retrieval

在图像检索领域中,为了更加方便、高效地进行图像检索,文中提出了一种新的图像检索特征——局部自相关特征,为基于内容的图像检索提供了新的工具,它兼具方向特征和纹理特征。利用提出的局部自相关特征在Corel10K图像库上进行了大量的实验,实验结果表明局部自相关特征的平均检索精确度和召回率虽然低于颜色特征,但高于方向特征,是除颜色特征之外又一个高效的图像检索特征。

In the field of image retrieval,in order to make the image retrieval more convenient and efficient,this paper proposed a new image retrieval feature,namly local autocorrelation feature,which provides a new tool for content-based image retrieval.It has the characteristics of orientation feature and texture feature.The experiment was carried out for local autocorrelation feature presented in this paper on the Corel10K database,the experimental results show that the average retrieval precision and recall rate of the local autocorrelation feature are lower than the color feature,but it is higher than that of the orientation feature.In addition to color features,the local autocorrelation feature is an efficient image retrieval feature.