generateNoiseImage: Generate single noise image based on parameter vector
In rcicr: Reverse-Correlation Image-Classification Toolbox
Description
Usage
Arguments
Value
Examples
Description
Generate single noise image based on parameter vector
Usage
1
generateNoiseImage(params, p)
Arguments
params
Vector with each value specifying the contrast of each patch in noise
p
3D patch matrix (generated using generateNoisePattern())
Value
The noise pattern as pixel matrix
Examples
1
2
3
#params <- rnorm(4092) # generates 4092 normally distributed random values
#s <- generateNoisePattern(img_size=256)
#noise <- generateNoiseImage(params, p)
rcicr documentation built on May 2, 2019, 5:24 p.m.
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Description Usage Arguments Value Examples
Description
Generate single noise image based on parameter vector
Usage
1 | generateNoiseImage(params, p)
|
Arguments
params |
Vector with each value specifying the contrast of each patch in noise |
p |
3D patch matrix (generated using |
Value
The noise pattern as pixel matrix
Examples
1 2 3 | #params <- rnorm(4092) # generates 4092 normally distributed random values
#s <- generateNoisePattern(img_size=256)
#noise <- generateNoiseImage(params, p)
|
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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