threshold_nmm: Thresholding based on normal mixture modelling.
In benmack/threshold: Histogram/density based threshold selection
Description
Usage
Arguments
References
Description
It is assumed that the data can be descrived by two Gaussians.
The parameters of the mixture components are estimated with Mclust.
Usage
1
threshold_nmm(x, x_eval = 101, x_pos = NULL, ...)
Arguments
x
vector of (pixel) gray levels to be thresholded, or an object of class densityMclust Mclust
x_eval
...
x_pos
A sample of the positive class. If given the overlap between the theoretical positive distribution and the empirical distribution is calculated.
...
arguemnts passed to mclust
References
...
benmack/threshold documentation built on May 12, 2019, 12:58 p.m.
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Description Usage Arguments References
Description
It is assumed that the data can be descrived by two Gaussians.
The parameters of the mixture components are estimated with Mclust.
Usage
1 | threshold_nmm(x, x_eval = 101, x_pos = NULL, ...)
|
Arguments
x |
vector of (pixel) gray levels to be thresholded, or an object of class densityMclust Mclust |
x_eval |
... |
x_pos |
A sample of the positive class. If given the overlap between the theoretical positive distribution and the empirical distribution is calculated. |
... |
arguemnts passed to mclust |
References
...
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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