In this branch the following statistical coefficients will be implemented
for the masked and umasked case:
- Entropy
- Uniformity
- UPP
- MPP
For the masked Image the class mitkExtendedLabelStatisticsImageFilter will be extended.
The coefficients Entropy,Uniformity,UPP will be calculated in ComputeEntropyUniformityAndUPP(). This coefficients depends on the calculated histogram.
MPP will be calculated togehter with the Kurtosis and Skewness in the method ComputeSkewnessKurtosisAndMPP()
For the unmasked case the class mitkExtendedStatisticsImageFilter will be extended.
The coefficients Entropy,Uniformity,UPP will be calculated in ComputeEntropyUniformityAndUPP().
MPP will be calculated togehter with the Kurtosis and Skewness in the method ComputeSkewnessKurtosisAndMPP().
Thorugh the calculation for the hisotgram in the mitkExtendedStatisticsImageFilter it is no longer necessary to calculate this in the mitkImageStatisticsCalculator.
On top of that the MitkImageStatisticsTestDriver will be extended for the four new coefficients. The Method will be called:
masked case: TestofEntropyUniformityAndUppForMaskedImages
unmasked case: TestofEntropyUniformityAndUppForUnmaskedImages
And
masked case:TestofEntropyUniformityAndUppForMaskedImages
unmasked case:TestofEntropyUniformityAndUppForUnmaskedImages