LS2W: Implementing the Locally Stationary 2D Wavelet Process Approach in R

LS2W: Implementing the Locally Stationary 2D Wavelet Process Approach in R

Locally stationary process representations have recently been proposed and applied to both time series and image analysis applications. This article describes an implementation of the locally stationary two-dimensional wavelet process approach in R. This package permits construction of estimates of...

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Bibliographic Details
Main Authors: Idris A. Eckley, Guy P. Nason
Format: Article
Language:English
Published: Foundation for Open Access Statistics 2011-08-01
Series:Journal of Statistical Software
Subjects:
random field
locally stationary
local autocovariance
LS2W
texture analysis
non-decimated wavelets
R
Online Access:http://www.jstatsoft.org/v43/i03/paper
Description
Summary:Locally stationary process representations have recently been proposed and applied to both time series and image analysis applications. This article describes an implementation of the locally stationary two-dimensional wavelet process approach in R. This package permits construction of estimates of spatially localized spectra and localized autocovariance which can be used to characterize structure within images.
ISSN:1548-7660

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