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Block-based Against Segmentation-based Texture Image Retrieval

Block-based Against Segmentation-based Texture Image Retrieval
Block-based Against Segmentation-based Texture Image Retrieval
This paper concerns the best approach to the capture of local texture features for use in content-based image retrieval (CBIR) applications. From our previous work, two approaches have been suggested, the multiscale block-based approach and the automatic texture segmentation approach. Performance comparison as well as advantages and disadvantages of the two methods are presented in this paper. The databases used are the Brodatz and VisTex databases, as well as three museum image collections of various sizes and contents, with each collection presenting different challenges to the CBIR systems. Experimental observations suggest that the two approaches both perform well, with the multiscale technique having the edge in retrieval performance and scale invariance, while the segmentation technique has the edge in lighter computational complexity as well as having the shape information for later purposes. The choice between the two approaches thus depends on application.
content-based image retrieval, discrete wavelet frames, multiscale technique, texture, texture segmentation
402-424
Fauzi, Mohammad Faizal Ahmad
7dc639ab-36b7-4317-85f4-52449a29be34
Lewis, Paul
7aa6c6d9-bc69-4e19-b2ac-a6e20558c020
Fauzi, Mohammad Faizal Ahmad
7dc639ab-36b7-4317-85f4-52449a29be34
Lewis, Paul
7aa6c6d9-bc69-4e19-b2ac-a6e20558c020

Fauzi, Mohammad Faizal Ahmad and Lewis, Paul (2010) Block-based Against Segmentation-based Texture Image Retrieval. Journal of Universal Computer Science, 16 (3), 402-424.

Record type: Article

Abstract

This paper concerns the best approach to the capture of local texture features for use in content-based image retrieval (CBIR) applications. From our previous work, two approaches have been suggested, the multiscale block-based approach and the automatic texture segmentation approach. Performance comparison as well as advantages and disadvantages of the two methods are presented in this paper. The databases used are the Brodatz and VisTex databases, as well as three museum image collections of various sizes and contents, with each collection presenting different challenges to the CBIR systems. Experimental observations suggest that the two approaches both perform well, with the multiscale technique having the edge in retrieval performance and scale invariance, while the segmentation technique has the edge in lighter computational complexity as well as having the shape information for later purposes. The choice between the two approaches thus depends on application.

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Block-based_Against_Segmentation-based_Texture_Image_Retrieval.pdf - Version of Record
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More information

Published date: March 2010
Keywords: content-based image retrieval, discrete wavelet frames, multiscale technique, texture, texture segmentation
Organisations: Web & Internet Science

Identifiers

Local EPrints ID: 270857
URI: http://eprints.soton.ac.uk/id/eprint/270857
PURE UUID: a10a7baf-050a-45f3-bba4-58f85550ae82

Catalogue record

Date deposited: 20 Apr 2010 14:31
Last modified: 20 Nov 2021 09:55

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Contributors

Author: Mohammad Faizal Ahmad Fauzi
Author: Paul Lewis

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