Texture-based Image Retrieval Using Multiscale Sub-image Matching
Texture-based Image Retrieval Using Multiscale Sub-image Matching
The paper presents research on a robust technique for texture-based image retrieval in multimedia museum collections. The aim is to be able to use a query image patch containing a single texture to retrieve images containing some area with similar texture to that in the query. A retrieval technique without the need for segmentation is presented. The algorithm uses a multiscale sub-image matching method together with an appropriate texture feature extractor. The multiscale sub-image matching is achieved by first decomposing each database image into a set of 64x64 pixel patches covering the entire image. The resolution of the database image is then rescaled to create sub-images corresponding to a larger scale. The process continues until the final resolution of the image is equal to some pre-determined value. Finally, a collection of sub-images corresponding to different image regions and scales is obtained. The final image feature vector consists of a collection of feature vectors corresponding to each sub-image. Several wavelet-based feature extractors are tested with the multiscale technique. From the experiments, it is found that the multiscale sub-image matching method is an efficient way to achieve effective texture retrieval without any need for segmentation.
Texture feature extraction, Multiscale sub-image matching, Content-based retrieval, Wavelet transform
407-416
Fauzi, Mohammad F. A.
5c9fc2e3-3432-4e58-9f8f-4d2a5b8f2c0b
Lewis, Paul H.
7aa6c6d9-bc69-4e19-b2ac-a6e20558c020
Vasudev, Bhaskaran
20f8cdf7-18ec-4c79-9edd-7a743ad6368d
Hsing, T. Russel
d22f622a-dc17-44f5-8c03-3cc777cee6af
Tescher, Andrew G.
1ebe8746-1426-40ed-aac4-72bf4825c342
Ebrahimi, Touradj
521f889a-9840-4600-a4bc-b1d7e6facb61
2003
Fauzi, Mohammad F. A.
5c9fc2e3-3432-4e58-9f8f-4d2a5b8f2c0b
Lewis, Paul H.
7aa6c6d9-bc69-4e19-b2ac-a6e20558c020
Vasudev, Bhaskaran
20f8cdf7-18ec-4c79-9edd-7a743ad6368d
Hsing, T. Russel
d22f622a-dc17-44f5-8c03-3cc777cee6af
Tescher, Andrew G.
1ebe8746-1426-40ed-aac4-72bf4825c342
Ebrahimi, Touradj
521f889a-9840-4600-a4bc-b1d7e6facb61
Fauzi, Mohammad F. A. and Lewis, Paul H.
(2003)
Texture-based Image Retrieval Using Multiscale Sub-image Matching.
Vasudev, Bhaskaran, Hsing, T. Russel, Tescher, Andrew G. and Ebrahimi, Touradj
(eds.)
IS&T/SPIE's 15th Annual Symposium Electronic Imaging: Image and Video Communications and Processing 2003 (SPIE vol. 5022), Santa Clara, California.
20 - 24 Jan 2003.
.
Record type:
Conference or Workshop Item
(Other)
Abstract
The paper presents research on a robust technique for texture-based image retrieval in multimedia museum collections. The aim is to be able to use a query image patch containing a single texture to retrieve images containing some area with similar texture to that in the query. A retrieval technique without the need for segmentation is presented. The algorithm uses a multiscale sub-image matching method together with an appropriate texture feature extractor. The multiscale sub-image matching is achieved by first decomposing each database image into a set of 64x64 pixel patches covering the entire image. The resolution of the database image is then rescaled to create sub-images corresponding to a larger scale. The process continues until the final resolution of the image is equal to some pre-determined value. Finally, a collection of sub-images corresponding to different image regions and scales is obtained. The final image feature vector consists of a collection of feature vectors corresponding to each sub-image. Several wavelet-based feature extractors are tested with the multiscale technique. From the experiments, it is found that the multiscale sub-image matching method is an efficient way to achieve effective texture retrieval without any need for segmentation.
More information
Published date: 2003
Additional Information:
Event Dates: 20-24 January
Venue - Dates:
IS&T/SPIE's 15th Annual Symposium Electronic Imaging: Image and Video Communications and Processing 2003 (SPIE vol. 5022), Santa Clara, California, 2003-01-20 - 2003-01-24
Keywords:
Texture feature extraction, Multiscale sub-image matching, Content-based retrieval, Wavelet transform
Organisations:
Web & Internet Science
Identifiers
Local EPrints ID: 258015
URI: http://eprints.soton.ac.uk/id/eprint/258015
PURE UUID: 2f5c8fe4-0d17-4bab-a448-4711e70c0267
Catalogue record
Date deposited: 24 Jul 2003
Last modified: 14 Mar 2024 06:05
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Contributors
Author:
Mohammad F. A. Fauzi
Author:
Paul H. Lewis
Editor:
Bhaskaran Vasudev
Editor:
T. Russel Hsing
Editor:
Andrew G. Tescher
Editor:
Touradj Ebrahimi
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