outlierRejection: Remove outliers and fill them in with NA
In xhtai/cartridges: Algorithm to Compare Cartridge Case Images
Description
Usage
Arguments
Value
Examples
Description
For each pixel, we consider a local patch consisting all pixels in a 21 x 21
pixel matrix, centered at the pixel being considered. Outliers are defined as
pixels that have values larger than 3 standard deviations from the mean of
the pixel values in its local patch. This is translated from code by Joseph
Roth and Zach Richardson.
Usage
1
outlierRejection(input)
Arguments
input
image matrix
Value
A matrix with non-breechface areas set to 0, and outliers set to NA.
Examples
1
2
3
4
5
6
7
## Not run:
# first run this:
croppedExample <- cropBorders(removedExample, centeredExample$centeredPrimer)
# then
outlierNAexample <- outlierRejection(croppedExample)
## End(Not run)
xhtai/cartridges documentation built on June 1, 2019, 2:58 p.m.
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Description Usage Arguments Value Examples
Description
For each pixel, we consider a local patch consisting all pixels in a 21 x 21 pixel matrix, centered at the pixel being considered. Outliers are defined as pixels that have values larger than 3 standard deviations from the mean of the pixel values in its local patch. This is translated from code by Joseph Roth and Zach Richardson.
Usage
1 | outlierRejection(input)
|
Arguments
input |
image matrix |
Value
A matrix with non-breechface areas set to 0, and outliers set to NA.
Examples
1 2 3 4 5 6 7 | ## Not run:
# first run this:
croppedExample <- cropBorders(removedExample, centeredExample$centeredPrimer)
# then
outlierNAexample <- outlierRejection(croppedExample)
## End(Not run)
|
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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