The evaluation of texture similarity is very important in content-based image retrieval systems.

纹理相似性研究是基于内容检索研究中的一个重要组成部分。

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This paper presents a color images region growing method based on online learning algorithm, which is used for content-based image retrieval systems.

论文阐述了一种基于在线学习算法的彩色图像区域增长法，用于解决基于内容的图像检索系统。

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In content-based image retrieval systems, the inconsistency between image low-level features and the concept of high-level expressed by images lead to system semantic gap problem.

在基于内容的图像检索系统中，图像低层特征和图像所表达高层概念之间的不一致性导致系统出现语义鸿沟问题。

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