The University of Southampton
University of Southampton Institutional Repository

Texture-based Image Retrieval Using Multiscale Sub-image Matching

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
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. pp. 407-416 .

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.

Text
EIC2003.pdf - Other
Download (395kB)

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

Export record

Contributors

Author: Mohammad F. A. Fauzi
Author: Paul H. Lewis
Editor: Bhaskaran Vasudev
Editor: T. Russel Hsing
Editor: Andrew G. Tescher
Editor: Touradj Ebrahimi

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×