Region-Based Automated Relevance Feedback in Algae Image Retrieval

被引：0
|
作者：
Tabout, H. [1 ]
Souissi, A. [1 ]
Sbihi, A. [1 ]
机构：
[1] Ibntofail Univ, Lab Telecommun Syst & Decis Engn, Kenitra, Morocco
来源：
INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND NETWORK SECURITY | 2007年 / 7卷 / 12期
关键词：
Self Organizing Maps; Content Based Image Retrieval; Relevance Feedback; Interest points; algae images;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, we present a content based image retrieval system with automatic relevance feedback. The proposed technique is based on color interest points extraction and on the calculation of the local descriptors in interest regions. Global and local features are grouped to feed a two level Self Organizing Maps Network in order to discriminate between retrieved images without user interaction. An implemented prototype system has demonstrated a promising retrieval performance for a test database containing more than 1000 color algae images.
引用
收藏
页码：124 / 131
页数：8
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