一种有效的支持海量图像数据库QBE查询的聚类索引算法

AN EFFICIENT INDEXING ALGORITHM OF CLUSTERING SUPPORTING QBE IMAGE RETRIEVAL FOR LARGE IMAGE DATABASES

对海量图像数据进行基于内容的查询与检索有赖于高效的索引和检索机制 .因此 ,如何将海量图像数据进行合理的分类 ,从而建立相应的索引机制就成为了一个亟待解决的问题 .本文提出了一种有效的支持海量图像数据库QBE查询的聚类索引算法 .实验在 1万多幅的图像数据库上进行了反复测试 。

As for large image databases, content _based query relies on efficient indexing and retrieval scheme. Therefore, building correspond indexing scheme would be necessary in the classification of those images in the database. This paper proposes an indexing algorithm of clustering which supports QBE image retrieval for large image databases. We implemented the proposed algorithm for large databases of 10,093 images. Our experimental results show that this algorithm is efficient.