Paper Info
Title
Flexible Retrieval Of X-Ray Images Based On Shape Descriptors Using A Fuzzy Object-Relational Database
Abstract
This paper presents a novel approach for medical image storage using a Fuzzy Object-Relational Database Management System (FORDBMS). The system stores medical images along with a set of parameters describing their content. Flexible queries can be performed over these parameters to retrieve images matching visually. To illustrate the capabilities of the FORDBMS, parameter curves are obtained from X-Ray images of patients suffering from scoliosis, and queries are performed when looking for images with a determined curve pattern. Results show that retrieved images visually match the condition established in the query.
Year
Venue
Keywords
2009
PROCEEDINGS OF THE JOINT 2009 INTERNATIONAL FUZZY SYSTEMS ASSOCIATION WORLD CONGRESS AND 2009 EUROPEAN SOCIETY OF FUZZY LOGIC AND TECHNOLOGY CONFERENCE
Image Retrieval, Fuzzy Databases
Field
DocType
Citations 
Computer vision,Object-relational database,Computer science,Fuzzy logic,Artificial intelligence
Conference
5
PageRank 
References 
Authors
0.64
15
4
Name
Order
Citations
PageRank
Juan Miguel Medina127224.24
Sergio Jaime-Castillo2204.47
Carlos D. Barranco35011.26
Jesús R. Campaña45511.39