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Interactive relevance feedback mechanism for image retrieval using rough set

机译:基于粗糙集的交互式相关反馈机制

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摘要

Recently, how to express human perception has become one of the most active research topics in image retrieval. In this paper, we propose a relevance feedback mechanism that can express objectively human perception by using rough set theory in retrieval system. The mechanism makes full use of the inherent advantages of rough set to solve the difficulty that the retrieval system cannot express human perception. In the end, an image retrieval system - "Basestar", which is based on the technology, is introduced to illustrate the retrieval performance.
机译:近年来,如何表达人类的感知已经成为图像检索中最活跃的研究主题之一。在本文中,我们提出了一种相关性反馈机制,该机制可以通过在检索系统中使用粗糙集理论来客观表达人类的感知。该机制充分利用了粗糙集的内在优势,解决了检索系统无法表达人类感知的难题。最后,介绍了基于该技术的图像检索系统“ Basestar”以说明检索性能。

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