Description Usage Arguments Value Examples
This computes the categorical or binary structural similarity index metric on a whole-image scale. The difference between this and the default 2-D method is that this considers the whole image at once and one scale rather than computing the index over a sliding window and downsampling to consider it at other scales.
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x, y |
binary or categorical image |
alpha |
normalizing parameter, by default 1 |
beta |
normalizing parameter, by default 1 |
gamma |
normalizing parameter, by default 1 |
c1 |
small normalization constant for the |
c2 |
small normalization constant for the |
method |
whether to use Cohen's kappa ( |
... |
Constants can be passed to the components of the index. |
Structural similarity index.
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[1] 0.9806734
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