@inproceedings{308c8866b3084789858891f9fa8dbff7,
title = "Texture similarity using periodically extended and adaptive curvelets",
abstract = "This paper presents a new method for texture based image retrieval. The proposed algorithm uses a periodically extended variant of the curvelet transform. The sum of the absolute value of differences in the mean and standard deviation between curvelet wedges representing the query image and the test image is used as the distance index. Performance improvement is demonstrated using the CUReT database, where the proposed algorithm significantly outperforms previously proposed methods that were based on Curvelet, Gabor, LBP, and wavelet features. We also show that adapting curvelet tiles increases the performance of the proposed method.",
keywords = "CBIR, Curvelet, Texture",
author = "Hasan Al-Marzouqi and {Al Regib}, Ghassan",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2014 ; Conference date: 03-12-2014 Through 05-12-2014",
year = "2014",
month = feb,
day = "5",
doi = "10.1109/GlobalSIP.2014.7032261",
language = "British English",
series = "2014 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2014",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "951--955",
booktitle = "2014 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2014",
address = "United States",
}