一种基于兴趣点颜色及空间分布的图像检索方法

A novel image retrieval algorithm based on the color anddistribution of interest points

提出了一种利用兴趣点进行图像检索的新方法.该方法把兴趣点作为图像中用户关注的视点线索,设计了一种基于兴趣点的环形颜色直方图,既利用了兴趣点的局部颜色特征,又考虑了兴趣点的空间分布结构,在保证检索算法对图像旋转、平移鲁棒性的前提下,克服了传统颜色直方图没有位置信息的缺陷.实验结果表明,该方法实现简单,有效提高了图像检索的效率.

A novel algorithm for image retrieval based on interest points is presented. Interest points are regarded as the vision clues, and an annular color histogram is designed, which takes not only the local color feature into consideration, but also the space distribution information of interest points. With robustness to rotation and translation, the algorithm avoids the shortcoming of losing the location information in color histogram. Experimental results show that this algorithm is simple and improves the image retrieval efficiency.