Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
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TY - JOUR
T1 - LS2W: implementing the locally stationary 2D wavelet process approach in R.
AU - Eckley, Idris A.
AU - Nason, Guy P.
PY - 2011/7
Y1 - 2011/7
N2 - 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 (LS2W) 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.
AB - 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 (LS2W) 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.
KW - random field
KW - locally stationary
KW - local autocovariance
KW - LS2W
KW - texture analysis
KW - non-decimated wavelets
KW - R.
M3 - Journal article
VL - 43
SP - 1
EP - 23
JO - Journal of Statistical Software
JF - Journal of Statistical Software
SN - 1548-7660
IS - 3
ER -