spaCov: Spatial Weighted Covariance
In spc4sts: Statistical Process Control for Stochastic Textured Surfaces
spaCov R Documentation
Spatial Weighted Covariance
Description
Computes the spatial weighted covariance of a pair of pixels in a given image.
Usage
spaCov(img, i1, i2, j1, j2, K)
Arguments
img
the given image
i1
the row index of the first pixel in the pair.
i2
the column index of the first pixel in the pair.
j1
the row index of the second pixel in the pair.
j2
the column index of the second pixel in the pair.
K
the weighted matrix.
Value
The spatial weighted covariance.
Author(s)
Anh Bui
References
Bui, A.T. and Apley., D.W. (2018a) "A Monitoring and Diagnostic Approach for Stochastic Textured Surfaces", Technometrics, 60, 1-13.
See Also
kerMat, bp
spc4sts documentation built on May 24, 2022, 5:07 p.m.
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| spaCov | R Documentation |
Spatial Weighted Covariance
Description
Computes the spatial weighted covariance of a pair of pixels in a given image.
Usage
spaCov(img, i1, i2, j1, j2, K)
Arguments
img |
the given image |
i1 |
the row index of the first pixel in the pair. |
i2 |
the column index of the first pixel in the pair. |
j1 |
the row index of the second pixel in the pair. |
j2 |
the column index of the second pixel in the pair. |
K |
the weighted matrix. |
Value
The spatial weighted covariance.
Author(s)
Anh Bui
References
Bui, A.T. and Apley., D.W. (2018a) "A Monitoring and Diagnostic Approach for Stochastic Textured Surfaces", Technometrics, 60, 1-13.
See Also
kerMat, bp
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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