This paper proposes an indexing algorithm of clustering which supports QBE image retrieval for large image databases.
本文提出了一种有效的支持海量图像数据库Q BE查询的聚类索引算法。
The URL indexing algorithm based on tree searching, achieving both a fast searching speed and a significantly low storage requirement.
URL检索融合了树查找算法,在实现了快速检索的同时减少了存储空间需求。
A feature indexing algorithm based on wavelet coefficients is used when comparing features in neighboring images, which increases efficiency in the nearest neighbor searching.
在进行相邻图片的特征比对时,提出一种基于小波系数的特征索引算法,提高搜索效率。
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