Package edu.stanford.rsl.konrad.filtering

Contains classes for filtering of image data.

See:
          Description

Class Summary
AbsoluteValueTool  
ApplyLambdaWeightingTool  
BilateralFilteringTool  
CosineWeightingTool Filtering tool to apply cosine weights.
DynamicDensityOptimizationScatterCorrectionTool  
ExtremeValueTruncationFilter Filter to truncate pixel values below or above a certain threshold
Filtering2DTool Filtering tool to apply a 2D filter.
HilbertFilteringTool Tool to apply a 1-D Hilbert filter.
HorizontalFlippingTool  
HoughFilteringTool Tool to apply a Hough filter for circles with fixed dimension.
ImageConstantMathFilter  
ImageFilteringTool Abstract class to describe the blue print of an ImageFilteringTool.
ImageMathFilter  
IndividualImageFilteringTool  
LogPoissonNoiseFilteringTool Applies Poisson noise to the input image as it would happen in the physical process (based on a monochromatic x-ray source).
MeanFilteringTool  
NumericalDerivativeComputationTool Tool to compute first derivate numerically.
PoissonNoiseFilteringTool Applies Poisson noise to the input image.
PrimaryModulationScatterCorrectionTool This is the comment $\alpha$
RampFilteringTool Class to apply a ramp filter to an image before 3D reconstruction.
Rotate90DegreeLeftTool  
TruncationCorrectionTool Class implements a simple truncation correction algorithm after Ohnesorge, Flohr, Schwarz, Heiken, and Bae "Efficient correction for CT image artifacts caused by objects extending outside the scan field of view" Med.
VolumeAttenuationFactorCorrectionTool  
 

Package edu.stanford.rsl.konrad.filtering Description

Contains classes for filtering of image data.

Author:
Andreas Maier