文章基本信息
- 标题：Object-Based Image Retrieval System Based On Rough Set Theory
- 本地全文：下载
- 作者：Gaber A. Sharawy ; Neveen I. Ghali ; Wafaa A. Ghoneim 等
- 期刊名称：International Journal of Computer Science and Network Security
- 印刷版ISSN：1738-7906
- 出版年度：2009
- 卷号：9
- 期号：1
- 页码：160-165
- 出版社：International Journal of Computer Science and Network Security
- 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.
- 关键词：
Rough set theory, Image retrieval, Object-oriented image analysis
