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JUCS
2010

Block-based Against Segmentation-based Texture Image Retrieval

8 years 3 months ago
Block-based Against Segmentation-based Texture Image Retrieval
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. Key Words...
Mohammad Faizal Ahmad Fauzi, Paul H. Lewis
Added 29 Jan 2011
Updated 29 Jan 2011
Type Journal
Year 2010
Where JUCS
Authors Mohammad Faizal Ahmad Fauzi, Paul H. Lewis
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