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The Applied College
Document Details
Document Type
:
Article In Journal
Document Title
:
Automatic multilevel medical image annotation and retrieval
شرح الصورة التلقائي متعددة المستويات الطبية واسترجاعها
Subject
:
Computer Science
Document Language
:
English
Abstract
:
Image retrieval at the semantic level mostly depends on image annotation or image classification. Image annotation performance largely depends on three issues: (1) automatic image feature extraction; (2) a semantic image concept modeling; (3) algorithm for semantic image annotation. To address first issue, multilevel features are extracted to construct the feature vector, which represents the contents of the image. To address second issue, domain-dependent concept hierarchy is constructed for interpretation of image semantic concepts. To address third issue, automatic multilevel code generation is proposed for image classification and multilevel image annotation. We make use of the existing image annotation to address second and third issues. Our experiments on a specific domain of X-ray images have given encouraging results.
ISSN
:
000
Journal Name
:
Journal of Digital Imaging
Volume
:
1
Issue Number
:
1
Publishing Year
:
1429 AH
2008 AD
Article Type
:
Article
Added Date
:
Wednesday, July 14, 2010
Researchers
Researcher Name (Arabic)
Researcher Name (English)
Researcher Type
Dr Grade
Email
أحمد معين
Mueen, Ahmed
Researcher
Doctorate
mueen123@gmail.com
Files
File Name
Type
Description
27446.docx
docx
27447.docx
docx
Back To Researches Page