首页> 外文会议>International Conference on Electronic Measurement amp; Instruments(ICEMI'2005) vol.6; 20050816-18; Beijing(CN) >An Approach for Content-based Image Retrieval Using Region Features in Image Database System
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An Approach for Content-based Image Retrieval Using Region Features in Image Database System

机译:一种基于区域特征的图像数据库系统基于内容的图像检索方法

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摘要

Once an image feature database is created, the number of its fields to store region features is limited. To ensure all region features extracted from each image can be completely stored in the database, it is necessary to control the number of regions segmented according the number of database fields. In this paper, a novel Approach is proposed for region multi-feature extraction, representation and similarity matching. The main benefit of this algorithm is that it can find an appropriate threshold with a binary searching method, and adjust the number of regions segmented automatically.
机译:创建图像特征数据库后,其用于存储区域特征的字段数将受到限制。为了确保从每个图像提取的所有区域特征都可以完全存储在数据库中,有必要控制根据数据库字段的数量分割的区域的数量。本文提出了一种新的区域多特征提取,表示和相似度匹配方法。该算法的主要优点是它可以使用二进制搜索方法找到合适的阈值,并自动调整分割区域的数量。

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