dot-selfsim: .selfsim
In imagefluency: Image Statistics Based on Processing Fluency
.selfsim R Documentation
.selfsim
Description
Returns the self-similarity of an image matrix as the degree to which the slope of the log-log power spectrum falls with power according to the value of 2.
Usage
.selfsim(img, full, raw, logplot)
Arguments
img
A matrix of numeric values or integer values, preferably
by square size.
full
logical. Should the full frequency range be used for
interpolation?
raw
logical. Should the raw value of the regression slope be returned?
logplot
logical. Should the log-log power spectrum of the image be
plotted?
Value
a numeric value (self-similarity)
imagefluency documentation built on Aug. 31, 2022, 5:06 p.m.
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| .selfsim | R Documentation |
.selfsim
Description
Returns the self-similarity of an image matrix as the degree to which the slope of the log-log power spectrum falls with power according to the value of 2.
Usage
.selfsim(img, full, raw, logplot)
Arguments
img |
A matrix of numeric values or integer values, preferably by square size. |
full |
logical. Should the full frequency range be used for interpolation? |
raw |
logical. Should the raw value of the regression slope be returned? |
logplot |
logical. Should the log-log power spectrum of the image be plotted? |
Value
a numeric value (self-similarity)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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