[ VIGRA Homepage | Class Index | Function Index | File Index | Main Page ]
![]() |
NoiseNormalizationOptions Class Reference | ![]() |
---|
Pass options to one of the noise normalization functions. More...
#include "vigra/noise_normalization.hxx"
Public Methods | |
NoiseNormalizationOptions () | |
NoiseNormalizationOptions & | useGradient (bool r) |
NoiseNormalizationOptions & | windowRadius (unsigned int r) |
NoiseNormalizationOptions & | clusterCount (unsigned int c) |
NoiseNormalizationOptions & | averagingQuantile (double quantile) |
NoiseNormalizationOptions & | noiseEstimationQuantile (double quantile) |
NoiseNormalizationOptions & | noiseVarianceInitialGuess (double guess) |
Detailed Description |
NoiseNormalizationOptions
is an argument object that holds various optional parameters used by the noise normalization functions. If a parameter is not explicitly set, a suitable default will be used.
Usage:
#include "vigra/noise_normalization.hxx"
Namespace: vigra
vigra::BImage src(w,h); std::vector<vigra::TinyVector<double, 2> > result; ... vigra::noiseVarianceEstimation(srcImageRange(src), result, vigra::NoiseNormalizationOptions().windowRadius(9).noiseVarianceInitialGuess(25.0));
|
Initialize all options with default values. |
|
Set the quantile for cluster averaging. After clustering, the cluster center (i.e. average noise variance as a function of the average intensity in the cluster) is computed using only the cluster members whose estimated variance is below quantile times the maximum variance in the cluster. |
|
Set the number of clusters for non-parametric noise normalization. The intensity/variance pairs found are grouped into clusters before the noise normalization transform is computed. |
|
Set the operating range of the robust noise estimator. Intensity changes that are larger than quantile times the current estimate of the noise variance are ignored by the robust noise estimator. |
|
Set the initial estimate of the noise variance. Robust noise variance estimation is an iterative procedure starting at the given value. |
|
Select the noise estimation algorithm.
If r is |
|
Set the window radius for a single noise estimate. Every window of the given size gives raise to one intensity/variance pair. |
© Ullrich Köthe (koethe@informatik.uni-hamburg.de) |
html generated using doxygen and Python
|