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论述了基于内容的图像检索技术(CBIR)的新进展,提出了引入相关反馈机制、多种特征组合检索、图像聚类检索等三种改进其性能的方法,并通过实例论证了这些方法的有效性。
This paper discusses the new progress of content-based image retrieval technology (CBIR), and proposes three ways to improve its performance by introducing relevant feedback mechanism, multiple feature combination retrieval and image clustering retrieval. The effectiveness of these methods is demonstrated by examples Sex.