EClassificationDataset::GetSpeckleNoiseMinimumStandardDeviation
EClassificationDataset::SetSpeckleNoiseMinimumStandardDeviation
The speckle noise minimum standard deviation.
The speckle noise is a multiplicative noise sampled from a Gamma distribution with a mean of 1 and with its standard deviation between EClassificationDataset::SpeckleNoiseMinimumStandardDeviation
and EClassificationDataset::SpeckleNoiseMaximumStandardDeviation
.
Its value must be strictly positive and lower than EClassificationDataset::SpeckleNoiseMaximumStandardDeviation
.
Namespace: Euresys::Open_eVision::EasyDeepLearning
[C++]
float GetSpeckleNoiseMinimumStandardDeviation() const
void SetSpeckleNoiseMinimumStandardDeviation(float speckleMinimumDeviation)
Remarks
This noise is computed before the salt and paper noise.
EClassificationDataset.SpeckleNoiseMinimumStandardDeviation
The speckle noise minimum standard deviation.
The speckle noise is a multiplicative noise sampled from a Gamma distribution with a mean of 1 and with its standard deviation between EClassificationDataset.SpeckleNoiseMinimumStandardDeviation
and EClassificationDataset.SpeckleNoiseMaximumStandardDeviation
.
Its value must be strictly positive and lower than EClassificationDataset.SpeckleNoiseMaximumStandardDeviation
.
Namespace: Euresys.Open_eVision.EasyDeepLearning
[C#]
float SpeckleNoiseMinimumStandardDeviation
{ get; set; }
Remarks
This noise is computed before the salt and paper noise.
EClassificationDataset.SpeckleNoiseMinimumStandardDeviation
The speckle noise minimum standard deviation.
The speckle noise is a multiplicative noise sampled from a Gamma distribution with a mean of 1 and with its standard deviation between EClassificationDataset.SpeckleNoiseMinimumStandardDeviation
and EClassificationDataset.SpeckleNoiseMaximumStandardDeviation
.
Its value must be strictly positive and lower than EClassificationDataset.SpeckleNoiseMaximumStandardDeviation
.
Module: open_evision.EasyDeepLearning
[Python]
SpeckleNoiseMinimumStandardDeviation: float
{get; set}
Remarks
This noise is computed before the salt and paper noise.