Automatic Multilevel Medical Image Annotation and Retrieval

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...

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Main Authors: Mueen, A., Zainuddin, R., Baba, M. Sapiyan
Format: Article
Language:English
Published: SPRINGER 2008
Subjects:
Online Access:http://shdl.mmu.edu.my/2273/
http://shdl.mmu.edu.my/2273/1/730.pdf
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author Mueen, A.
Zainuddin, R.
Baba, M. Sapiyan
author_facet Mueen, A.
Zainuddin, R.
Baba, M. Sapiyan
author_sort Mueen, A.
building MMU Institutional Repository
collection Online Access
description 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.
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spelling mmu-22732011-09-09T03:55:03Z http://shdl.mmu.edu.my/2273/ Automatic Multilevel Medical Image Annotation and Retrieval Mueen, A. Zainuddin, R. Baba, M. Sapiyan T Technology (General) R Medicine (General) 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. SPRINGER 2008-09 Article NonPeerReviewed application/pdf en http://shdl.mmu.edu.my/2273/1/730.pdf Mueen, A. and Zainuddin, R. and Baba, M. Sapiyan (2008) Automatic Multilevel Medical Image Annotation and Retrieval. Journal of Digital Imaging, 21 (3). pp. 290-295. ISSN 0897-1889 http://dx.doi.org/10.1007/s10278-007-9070-3 doi:10.1007/s10278-007-9070-3 doi:10.1007/s10278-007-9070-3
spellingShingle T Technology (General)
R Medicine (General)
Mueen, A.
Zainuddin, R.
Baba, M. Sapiyan
Automatic Multilevel Medical Image Annotation and Retrieval
title Automatic Multilevel Medical Image Annotation and Retrieval
title_full Automatic Multilevel Medical Image Annotation and Retrieval
title_fullStr Automatic Multilevel Medical Image Annotation and Retrieval
title_full_unstemmed Automatic Multilevel Medical Image Annotation and Retrieval
title_short Automatic Multilevel Medical Image Annotation and Retrieval
title_sort automatic multilevel medical image annotation and retrieval
topic T Technology (General)
R Medicine (General)
url http://shdl.mmu.edu.my/2273/
http://shdl.mmu.edu.my/2273/
http://shdl.mmu.edu.my/2273/
http://shdl.mmu.edu.my/2273/1/730.pdf