sufficientStat: Calculate the sufficient statistic of the Potts model for the...
In bayesImageS: Bayesian Methods for Image Segmentation using a Potts Model
Description
Usage
Arguments
Value
Description
Calculate the sufficient statistic of the Potts model for the given labels.
Usage
1
sufficientStat(labels, neighbors, blocks, k)
Arguments
labels
A matrix of pixel labels.
neighbors
A matrix of all neighbors in the lattice, one row per pixel.
blocks
A list of pixel indices, dividing the lattice into independent blocks.
k
The number of unique labels.
Value
The sum of like neighbors.
bayesImageS documentation built on April 11, 2021, 5:06 p.m.
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Description Usage Arguments Value
Description
Calculate the sufficient statistic of the Potts model for the given labels.
Usage
1 | sufficientStat(labels, neighbors, blocks, k)
|
Arguments
labels |
A matrix of pixel labels. |
neighbors |
A matrix of all neighbors in the lattice, one row per pixel. |
blocks |
A list of pixel indices, dividing the lattice into independent blocks. |
k |
The number of unique labels. |
Value
The sum of like neighbors.
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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