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Multiscale texture classification and retrieval based on magnitude and phase features of complex wavelet subbands
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Çelik, Turgay and Tjahjadi, Tardi (2011) Multiscale texture classification and retrieval based on magnitude and phase features of complex wavelet subbands. Computers & Electrical Engineering, Vol.37 (No.5). pp. 729-743. doi:10.1016/j.compeleceng.2011.06.008 ISSN 0045-7906.
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WRAP_Celik_030112-celiktjahjadicee2011.pdf - Accepted Version - Requires a PDF viewer. Download (2701Kb) |
Official URL: http://dx.doi.org/10.1016/j.compeleceng.2011.06.00...
Abstract
This paper proposes a multiscale texture classifier which uses features extracted from both magnitude and phase responses of subbands at different resolutions of the dual-tree complex wavelet transform decomposition of a texture image. The mean and entropy in the transform domain are used to form a feature vector. The proposed method can achieve a high texture classification rate even for small number of samples used in training stage. This makes it suitable for applications where the number of texture samples used in training is very limited. The superior performance and robustness of the proposed classifier is shown for classifying and retrieving texture images from image databases.
Item Type: | Journal Article | ||||
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Subjects: | T Technology > TA Engineering (General). Civil engineering (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering |
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Divisions: | Faculty of Science, Engineering and Medicine > Engineering > Engineering | ||||
Library of Congress Subject Headings (LCSH): | Texture mapping, Wavelets (Mathematics), Content-based image retrieval | ||||
Journal or Publication Title: | Computers & Electrical Engineering | ||||
Publisher: | Pergamon | ||||
ISSN: | 0045-7906 | ||||
Official Date: | September 2011 | ||||
Dates: |
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Volume: | Vol.37 | ||||
Number: | No.5 | ||||
Number of Pages: | 15 | ||||
Page Range: | pp. 729-743 | ||||
DOI: | 10.1016/j.compeleceng.2011.06.008 | ||||
Status: | Peer Reviewed | ||||
Publication Status: | Published | ||||
Access rights to Published version: | Restricted or Subscription Access | ||||
Date of first compliant deposit: | 19 December 2015 | ||||
Date of first compliant Open Access: | 19 December 2015 | ||||
Funder: | University of Warwick Vice Chancellor Scholarship |
Data sourced from Thomson Reuters' Web of Knowledge
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