一种新的基于改进聚类检索算法的CBIR系统研究

随着多媒体技术、网络技术的飞速发展,各种各样的信息爆炸式增长,导致人们对信息检索的要求越来越迫切.本文提出了一个新颖的基于内容的图像检索模型,还提出了一种新颖的适合于图像数据的聚类检索方法,通过自动更新簇特征的权重来提高聚类准确率,从而改进检索效果.通过文中的仿真实验说明,文中提出的检索模型,以及采用的相关算法是可行的,取得了良好的检索效果.

New CBIR System Based on the Improved Clustering Image Retrieval

Along with the arrival of multimedia and information time,people can get more and more information.We describe a novel CBIR model which pays attention to both vision feature and semantics.Also,we propose a novel idea of improved clustering which can improve the result of image retrieval.Validity of our thoughts has been testified by the experiments.