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This ImageJ plugin calculates the covariance matrix for the 11-element Flusser moment vectors over a collection of
binary images. The plugin assumes binary images (with 0 background and non-zero foreground) and calculates the 11
scale and rotation invariant Flusser moments (sec. G.3 of [1] for details) for the largest contained region contained
in each image of the data set . The resulting covariance matrix is output in float
and bit-encoded
long
format to avoid precision loss. The latter can be converted to double
using
Matrix.fromLongBits(long[][])
. The covariance matrix is used as a parameter to the Mahalanobis distance for
matching moment vectors (see Flusser_Moments_Matching_Demo
).
[1] W. Burger, M.J. Burge, Digital Image Processing – An Algorithmic Introduction, 3rd ed, Springer (2022).
- Version:
- 2022/12/28
- See Also:
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Constructor Details
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Flusser_Moments_Covariance_Matrix
public Flusser_Moments_Covariance_Matrix()
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Method Details