[ VIGRA Homepage | Class Index | Function Index | File Index | Main Page ]

details NoiseNormalizationOptions Class Reference VIGRA

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


Pass options to one of the noise normalization functions.

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));


Constructor & Destructor Documentation


NoiseNormalizationOptions   [inline]

 

Initialize all options with default values.


Member Function Documentation


NoiseNormalizationOptions& averagingQuantile double    quantile [inline]

 

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.
Default: 0.8
Precondition: 0 < quantile <= 1.0


NoiseNormalizationOptions& clusterCount unsigned int    c [inline]

 

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.
Default: 10 clusters


NoiseNormalizationOptions& noiseEstimationQuantile double    quantile [inline]

 

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.
Default: 1.5
Precondition: 0 < quantile


NoiseNormalizationOptions& noiseVarianceInitialGuess double    guess [inline]

 

Set the initial estimate of the noise variance. Robust noise variance estimation is an iterative procedure starting at the given value.
Default: 10.0
Precondition: 0 < quess


NoiseNormalizationOptions& useGradient bool    r [inline]

 

Select the noise estimation algorithm.

If r is true, use the gradient-based noise estimator according to Förstner (default). Otherwise, use an algorithm that uses the intensity values directly.


NoiseNormalizationOptions& windowRadius unsigned int    r [inline]

 

Set the window radius for a single noise estimate. Every window of the given size gives raise to one intensity/variance pair.
Default: 6 pixels


The documentation for this class was generated from the following file:

© Ullrich Köthe (koethe@informatik.uni-hamburg.de)
Cognitive Systems Group, University of Hamburg, Germany

html generated using doxygen and Python
VIGRA 1.5.0 (7 Dec 2006)