Object-Based Image Retrieval System Based On Rough Set Theory

被引：0
|
作者：
Sharawy, Gaber A. [1 ]
Ghali, Neveen I. [1 ]
Ghoneim, Wafaa A. [1 ]
机构：
[1] Al Azhar Univ, Fac Sci, Cairo, Egypt
来源：
INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND NETWORK SECURITY | 2009年 / 9卷 / 01期
关键词：
Rough set theory; Image retrieval; Object-oriented image analysis;
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：
The goal of this paper is to create image retrieval system based on image objects. In the context of Rough Set Theory we introduce an accurate Object-Based Image Retrieval (OBIR) system that can handle image-based queries, and presents an efficient algorithm to retrieve images from large databases, by defining novel image feature called Object Similarity Ratio used in the proposed system.
引用
收藏
页码：160 / 165
页数：6
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