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

页码：160 / 165

页数：6

共 9 条

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