arrow
Return

2-D Wavelet Packet Spectrum for Texture Analysis

delete2013-06-01
delete21
delete
OA
AI
A
Abdourrahmane M. Atto *
Y
Yannick Berthoumieu
P
P. Bolon
DOI:10.1109/TIP.2013.2246524delete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

En 中文
This brief derives a 2-D spectrum estimator from some recent results on the statistical properties of wavelet packet coefficients of random processes. It provides an analysis of the bias of this estimator with respect to the wavelet order. This brief also discusses the performance of this wavelet-based estimator, in comparison with the conventional 2-D Fourier-based spectrum estimator on texture analysis and content-based image retrieval. It highlights the effectiveness of the wavelet-based spectrum estimation.
Keywords:
2-D wavelet packet transforms
random fields
spectral analysis
spectrum estimation
similarity measurements

Journal

IEEE Transactions on Image Processing cover
IEEE Transactions on Image Processing
IF:
13.7
Papers:
1.0W
Citations:
8.4W

Organization

U
universite de bordeaux
Scholars:
2.7W
Papers: 1.9W
Citations: 37
U
Universite Savoie Mont Blanc
Scholars:
5.4K
Papers: 4.0K
Citations: 18