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。
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。
This paper introduces the basic theory, retrieval mode and critical technology of content-based image retrieval and illustrates some advanced image retrieval systems.
本文介绍了基于内容图像检索的基本原理、检索方式和关键技术，并列举了几种较为先进的图像检索系统。
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。
We analyzed the difficulties of traditional method of retrieval and introduced the highlights of content based image retrieval systems, its structure modules and general processing methods.
分析了传统的图象检索方法的困难，比较了基于内容的图象检索系统所具有的优点、系统结构及一般的处理方法。
Based on the requirement of image query, the paper designs a framework of Content-Based image Retrieval system (CBIR), which possesses more functions than all kinds of existing CBIR systems.
依据当前对图象查询的要求，本文设计了一套完整的基于内容的图象信息检索系统，该系统较以往的各种系统，功能更加全面。
Based on the requirement of image query, the paper designs a framework of Content-Based image Retrieval system (CBIR), which possesses more functions than all kinds of existing CBIR systems.
依据当前对图象查询的要求，本文设计了一套完整的基于内容的图象信息检索系统，该系统较以往的各种系统，功能更加全面。
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