X-Ray Image Retrieval System Based On Visual Feature Discrimination

被引：1

作者：

Alraqibah, Heelah A. ^{[1
]}

Bchir, Ouiem ^{[1
]}

Ben Ismail, Mohamed Maher ^{[1
]}

机构：

[1] King Saud Univ, Coll Comp & Informat Sci, Riyadh 11451, Saudi Arabia

来源：

6TH INTERNATIONAL CONFERENCE ON DIGITAL IMAGE PROCESSING (ICDIP 2014) | 2014年 / 9159卷

关键词：

Content based image retrieval; unsupervised learning; automatic weighting; visual descriptors; FUTURE-DIRECTIONS;

D O I：

10.1117/12.2064512

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this paper, we propose a medical content based image retrieval system based on efficient discrimination between visual descriptors within each image category. In addition, the proposed approach reduces the search space during the retrieval phase by incorporating an unsupervised learning and feature weighing component. We use a collection of X-ray images from ImageCLEF2009 data set in order to assess the performance of the system. The obtained results show that the proposed approach is faster than typical content based image retrieval.

引用

页数：5

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