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Image retrieval using local texture descriptor for CE applications

Authors
Park, Ki taeLee, Jeong hoMoon, Young Shik
Issue Date
Jan-2009
Publisher
IEEE
Keywords
Local texture feature; Feature vectors; Existing method; Image retrieval; Local Texture; Spatial correlations; Textures; CE applications; Image retrieval techniques; Descriptors; Texture features; Consumer electronics; Texture patterns
Citation
IEEE International Conference on Consumer Electronics (ICCE, 2009), pp.1 - 2
Indexed
OTHER
Journal Title
IEEE International Conference on Consumer Electronics (ICCE, 2009)
Start Page
1
End Page
2
URI
https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/41438
DOI
10.1109/ICCE.2009.5012356
ISSN
2158-3994
Abstract
This paper proposes an image retrieval technique using local texture features based on Fourier transform. The proposed texture features represent the spatial correlation of texture patterns more effectively with less size of the feature vector, compared to the existing ones. By experimental results, it has been shown that the proposed method achieves improvedretrieval results over the existing methods. ©2009 IEEE.
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COLLEGE OF COMPUTING > SCHOOL OF COMPUTER SCIENCE > 1. Journal Articles

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