基于相关聚合直方图的CBIR

在颜色直方图的基础上，结合图像的颜色、形状和纹理特征，提出了一种基于相关聚合直方图的图像检索算法．该算法通过集合聚合度的概念，在图像的颜色统计信息中融人了多粒度的空间聚合信息，具有对图像平移、旋转与尺度变化不敏感及检索性能受数据库大小变化影响较少等特点．为了验证算法的有效性，对该算法进行了性能比较实验．实验数据表明，该算法具有较好的检索性能．

The Research of the Correlation and Polymerization Histogram in CBIR

With color histogram as its basis,and combinatory with the color,shape and texture characteristics of image,this paper puts forward a kind of search algorithm based on the correlation and polymerization histogram.With the concept of set's polymerization degree,the space polymerization information is incorporated into the color statistical information in the algorithm.It has such many advantages as insensitivity to the picture's transition,rotation and size change and its retrieval performance having little to do with the size of the database.As to testifying the validity of the algorithm,this paper carries out some experiments about the search algorithm of the correlation and polymerization histogram.The data from experiments suggest that the search algorithm of the correlation and polymerization histogram has a better retrieval performance.