ImageDev

- Getting Started
- ImageDev Python
- ImageDev C#
- ImageDev C++
- Licensing Information
- Redistributable Files
- Processing
- Image Manipulation
- - Synthetic Images
  - - RandomImage2d
    - RandomImage3d
    - RandomGaussianImage2d
    - RandomGaussianImage3d
    - RadialFunctionImage2d
    - RadialFunctionImage3d
    - OrientedLinesImage2d
    - OrientedLinesImage3d
    - RandomSphereImage3d
    - BoxGridImage2d
    - BoxGridImage3d
    - WedgeMaskImage3d
    - PointSpreadFunctionImage3d
  - Image Editing
  - - ConvertImage
    - ResetImage
    - CopyImage
    - PasteImage2d
    - PasteImage3d
    - CropImage2d
    - CropImage3d
    - SampleImage2d
    - SampleImage3d
    - InterlaceFrames2d
    - DeinterlaceFrames2d
  - Stack Operations
  - - SequenceConcatenation
    - SequenceToMultispectral
    - SequenceToVolume
    - VolumeToSequence
    - MultispectralToSequence
    - GetSliceFromVolume3d
    - SetSliceToVolume3d
    - GetObliqueSliceFromVolume3d
    - ImageStackProjection3d
    - VolumeProjection3d
- Geometry And Matching
- - Geometric Transforms
  - - Shearing3d
    - TranslateImage2d
    - TranslateImage3d
    - Flip2d
    - Flip3d
    - FlipImage2d
    - FlipImage3d
    - TransposeImage2d
    - TransposeImage3d
    - SwapQuadrants
    - Rotate2d
    - Rotate3d
    - RotationGenerator3d
    - Resize2d
    - Resize3d
    - RescaleByFactor
    - RescaleImageByFactor
    - ResampleAffine2d
    - ResampleAffine3d
    - ResampleElastic2d
    - SurfaceUnfolding3d
  - Pattern Recognition
  - - BinaryCorrelation2d
    - CrossCorrelation2d
    - CorrelationByDifference2d
    - CorrelationBySignChange2d
  - Registration
  - - ImagePrealignment3d
    - AffineRegistration
    - ElasticRegistration2d
- Arithmetic And Logic
- - Arithmetical Operations
  - - AbsoluteValue
    - AbsoluteMaximumWithImage
    - ArithmeticOperationWithImage
    - ArithmeticOperationWithValue
    - BlendWithImage
    - BlendWithValue
    - DirectionalBlending2d
    - CombineByMask
    - ImageFormula
    - EigenDecomposition2d
    - EigenDecomposition3d
  - Logical Operations
  - - MaskImage
    - LogicalOperationWithImage
    - LogicalOperationWithValue
    - LogicalNot
    - InvertImage
    - BitShift
- Image Filtering
- - Grayscale Transforms
  - - RescaleIntensity
    - StackRescaleIntensity
    - MatchContrast
    - HistogramEqualization
    - Clahe2d
    - Clahe3d
    - AdaptiveHistogramEqualization
    - ApplyGrayscaleLut
    - BackgroundImage2d
    - RadialBackgroundImage2d
    - ShadingCorrection
    - Exponential
    - Logarithm
    - Square
    - SquareRoot
    - RingArtifactRemoval3d
    - BeamHardeningCorrection3d
  - Color Transforms
  - - ColorToLightness
    - GetColorChannel
    - ColorToGrayscale
    - GrayscaleToColor
    - ColorSpaceConversion
    - ColorAntialiasing2d
    - BayerToRgb2d
    - DecorrelationStretch2d
    - BlendAlphaChannelWithImage
    - BlendAlphaChannelWithValue
  - Smoothing And Denoising
  - - BoxFilter2d
    - BoxFilter3d
    - MedianFilter2d
    - MedianFilter3d
    - GaussianFilter2d
    - GaussianFilter3d
    - ExponentialFilter2d
    - RecursiveExponentialFilter2d
    - RecursiveExponentialFilter3d
    - NonLocalMeansFilter2d
    - NonLocalMeansFilter3d
    - CurvatureDrivenDiffusion
    - BilateralFilter2d
    - BilateralFilter3d
    - MajorityFilter2d
    - MajorityFilter3d
    - SigmaFilter2d
    - SigmaFilter3d
    - Despeckle2d
    - Despeckle3d
    - NagaoFilter2d
    - NagaoFilter3d
    - SnnFilter2d
    - SnnFilter3d
    - FlowInpainting
  - Sharpening
  - - Deblurring2d
    - Delineate2d
    - Delineate3d
    - UnsharpMasking2d
    - UnsharpMasking3d
    - Shade2d
    - RichardsonLucyDeconvolution
  - Texture Filters
  - - MeanFilter2d
    - MeanFilter3d
    - VarianceFilter2d
    - VarianceFilter3d
    - SkewnessFilter2d
    - SkewnessFilter3d
    - KurtosisFilter2d
    - KurtosisFilter3d
    - ContrastFilter2d
    - ContrastFilter3d
    - VariationFilter2d
    - VariationFilter3d
    - EnergyFilter2d
    - EnergyFilter3d
    - EntropyFilter2d
    - EntropyFilter3d
    - AutocorrelationFilter
    - LocalAutocorrelationFilter2d
    - ImageCurvature2d
    - ImageCurvature3d
    - StructureEnhancementFilter2d
    - StructureEnhancementFilter3d
    - ScaleSpaceLogFilter2d
    - ScaleSpaceLogFilter3d
  - Frequency Domain
  - - ComplexFft
    - ComplexFftInverse
    - ComplexCenteredFft
    - ComplexCenteredFftInverse
    - CartesianToPolar2d
    - PolarToCartesian2d
    - ConvolutionWithImage
    - ConvolutionWithImage2d
    - RadialFrequencyFilter2d
    - GaborFiltering2d
- Edge Detection
- - Gradient
  - - GradientOperator2d
    - GradientOperator3d
    - VectorToMagnitude2d
    - VectorToMagnitude3d
    - GradientVector2d
    - GradientVector3d
    - GradientMagnitude2d
    - GradientMagnitude3d
    - MorphologicalGradient2d
    - MorphologicalGradient3d
    - RadialGradientCentered2d
    - RadialGradientCentered3d
    - RadialGradientContour2d
    - RadialGradientContour3d
    - RadialGradientLabel2d
    - RadialGradientLabel3d
  - Laplacian
  - - DobFilter2d
    - DobFilter3d
    - MorphologicalLaplacian
    - RecursiveLaplacian2d
    - RecursiveLaplacian3d
  - Other Derivatives
  - - GaussianDerivative2d
    - GaussianDerivative3d
    - GaussianHessianMatrix2d
    - GaussianHessianMatrix3d
    - GaussianGradientTensor2d
    - GaussianGradientTensor3d
  - Edge Marking
  - - ImageLocalMaxima2d
    - ImageLocalMaxima3d
    - RidgeDetection
    - ZeroCrossings2d
    - DijkstraShortestPath2d
    - EigenvaluesToStructureness2d
    - EigenvaluesToStructureness3d
    - TensorVoting2d
    - CannyEdgeDetector2d
    - CannyEdgeDetector3d
- Image Segmentation
- - Binarization
  - - Thresholding
    - ThresholdingByCriterion
    - AutoThresholdingBright
    - AutoThresholdingDark
    - ColorThresholding
    - TopHat
    - FeatureAdaptiveThresholding
    - AdaptiveThresholding2d
    - AdaptiveThresholding3d
    - HysteresisThresholding
  - Labeling
  - - Labeling2d
    - Labeling3d
    - ReorderLabels
    - AssignLabel
    - AddObjectToLabel
    - GroupCloseLabelsl2d
  - Feature Selection
  - - KillBorder2d
    - KillBorder3d
    - RemoveSmallSpots
    - ObjectBoundaries
    - BinarySmoothing2d
    - BinarySmoothing3d
    - LabelInterfaces
  - Separating And Filling
  - - FillHoles2d
    - FillHoles3d
    - RemoveSmallHoles
    - FillImageBorder3d
    - ExpandLabelBoundaries
    - SeparateObjects
    - HExtremaWatershed
    - SeparateObjectsByBlock
    - HExtremaWatershedByBlock
    - ConvexHull2d
  - Region Growing
  - - MarkerBasedWatershed2d
    - MarkerBasedWatershed3d
    - MarkerBasedWatershedByBlock
    - MarkerBasedWatershedBasinsByBlock
    - ExpandLabelsOnBackground
    - FloodFillThreshold2d
    - FloodFillThreshold3d
    - Waterpixel
  - Computational Geometry
  - - PolylineResampler2d
    - PolylineResampler3d
    - PolylineExtrusion3d
    - SurfaceFitting3d
- Mathematical Morphology
- - Erosion And Dilation
  - - Erosion2d
    - Erosion3d
    - Dilation2d
    - Dilation3d
    - ErosionDisk2d
    - ErosionDisk3d
    - ErosionBall3d
    - DilationDisk2d
    - DilationDisk3d
    - DilationBall3d
    - ErosionLine2d
    - ErosionLine3d
    - DilationLine2d
    - DilationLine3d
    - ErosionColor2d
    - DilationColor2d
    - SelectiveErosion2d
    - SelectiveErosion3d
    - SelectiveDilation2d
    - SelectiveDilation3d
  - Opening And Closing
  - - Opening2d
    - Opening3d
    - Closing2d
    - Closing3d
    - OpeningDisk2d
    - OpeningDisk3d
    - OpeningBall3d
    - ClosingDisk2d
    - ClosingDisk3d
    - ClosingBall3d
    - OpeningLine2d
    - OpeningLine3d
    - ClosingLine2d
    - ClosingLine3d
    - OpeningLineMaximum
    - ClosingLineMinimum
    - OpeningColor2d
    - ClosingColor2d
    - OpeningByReconstruction2d
    - OpeningByReconstruction3d
    - ClosingByReconstruction2d
    - ClosingByReconstruction3d
    - OpeningDiskByReconstruction2d
    - OpeningBallByReconstruction3d
    - ClosingDiskByReconstruction2d
    - ClosingBallByReconstruction3d
    - SelectiveOpening2d
    - SelectiveOpening3d
    - SelectiveClosing2d
    - SelectiveClosing3d
  - Hit Or Miss And Skeleton
  - - Skeleton
    - Centerline3d
    - InfluenceZones
    - Centroid2d
    - EndPoints2d
    - EndPoints3d
    - Pruning2d
    - Pruning3d
    - IsolatedPoints2d
    - IsolatedPoints3d
    - TriplePoints2d
    - InteriorPoints2d
    - ApplyMorphologicalLut2d
    - ApplyMorphologicalLut3d
  - Geodesic Transformations
  - - ReconstructionFromMarkers2d
    - ReconstructionFromMarkers3d
    - GrayscaleReconstruction2d
    - GrayscaleReconstruction3d
    - GrayscaleFillHoles2d
    - GrayscaleFillHoles3d
    - HExtrema2d
    - HExtrema3d
    - RegionalExtrema2d
    - RegionalExtrema3d
    - UltimateErosion
  - Distance Maps
  - - DistanceMap2d
    - DistanceMap3d
    - EuclideanDistanceMap3d
    - EuclideanDistanceMap2d
    - GeodesicDistanceMap
    - ClosestBoundaryPoints2d
    - ClosestBoundaryPoints3d
    - TimeMap
    - LocalThicknessMap3d
    - GeodesicPropagation2d
    - GeodesicMaxima
    - GeodesicMinima
- Image Analysis
- - Image Measurements
  - - BinaryAnalysis
    - Area2d
    - Area3d
    - IntensityIntegral2d
    - IntensityIntegral3d
    - ObjectCount
    - DistanceMean2d
    - EulerNumber2d
    - EulerNumber3d
    - FractalDimension
    - CurvatureIntegrals3d
  - Image Statistics
  - - IntensityExtrema
    - IntensityStatistics
    - IntensityMaskedStatistics
    - IntensityHistogram
    - IntensityBinHistogram
    - AutoThresholdingValue
    - CompareImage
    - CompareValue
    - SimilarityMetricValue
    - SsimValue2d
    - SsimValue3d
    - RegionSimilarity
    - RadialIntensityProfile2d
    - RadialIntensityProfile3d
    - CylindricalIntensityProfile3d
    - RadialAutocorrelationProfile
    - Cooccurrence2d
    - MeasureGaussianNoise
    - LocalMaxima2d
    - LocalMaxima3d
    - PeakExtractor
    - LocalDensityMap2d
    - LocalDensityMap3d
    - SegmentationMetrics
  - Individual Measurements
  - - VolumeFractionByLabel
    - LabelCountByRegion
    - VolumeFractionByRegion
    - LabelAnalysis
    - LabelFiltering
    - LabelFilteringAnalysis
    - FilterAnalysis
    - MeasurementToImage
    - FilterByMeasurement
    - SieveLabeling
  - Moments And Orientations
  - - MomentsOfInertia2d
    - MomentsOfInertia3d
    - InertiaMoment2d
    - Eccentricity2d
    - OrientationMapFourier3d
    - OrientationMatchingFourier3d
  - Morphometry
  - - ObjectVolume
    - TotalImageVolume
    - ObjectBoundaryArea
    - TotalImageBoundaryArea
    - AverageObjectAreaPerSlice3d
    - AverageObjectCountPerSlice3d
    - ObjectImageRatio
    - ObjectSpecificSurface
    - ObjectSurfaceDensity
    - PorosityPercentage3d
    - FragmentationIndex
    - StructureModelIndex3d
    - AverageObjectThickness3d
    - AverageSpaceThickness3d
    - ObjectLinearDensity3d
    - DegreeOfAnisotropy
  - Propagation
  - - AxisPropagationBinary3d
    - AxisPropagationBinaryWithSeeds3d
    - AxisPropagationLabel3d
    - AxisPropagationLabelWithSeeds3d
    - AxisPropagationDistance3d
    - EstimateShortestPath3d
    - PercolationThreshold3d
    - AxisConnectivity3d
    - CentroidPathTortuosity3d
- Machine Learning
- - Classification
  - - AutoSegmentation3Phases
    - AutoIntensityClassification
    - SupervisedTextureClassification2d
    - SupervisedTextureClassification3d
    - TextureClassificationCreate
    - TextureClassificationTrain
    - TextureClassificationApply
  - Deep learning
  - - OnnxPredictionFiltering2d
    - OnnxPredictionFiltering3d
    - OnnxPredictionSegmentation2d
    - OnnxPredictionSegmentation3d
    - OnnxPredictionTwoOutputs2d
    - OnnxPredictionTwoOutputs3d
- Business Application
- - Dental
  - - DentalWallSegmentation3d
    - DentalMeshExtraction3d
    - DentalUnfolding3d
- IO
- - Image Data
  - - ReadVipImage
    - WriteVipImage
  - Algebraic Data
  - - ReadArrayXd
    - ReadArrayXi64
    - WriteArrayXd
    - WriteArrayXi64
  - Model
  - - ReadOnnxModel
- CUDA
- - Geometry And Matching
  - - CudaCrossCorrelation2d
    - CudaTemplateMatching3d
  - Image Filtering
  - - CudaBoxFilter2d
    - CudaMedianFilter2d
    - CudaGaussianFilter3d
    - CudaAdaptiveManifoldNlmFilter
  - Mathematical Morphology
  - - CudaErosion2d
    - CudaDilation2d
    - CudaOpening2d
    - CudaClosing2d
- Utilities
- Initialization
- Processing
- Syntax Check
- Visualization
- Data Object
- Image Data
- Kernels
- - MorphologicalKernel2d
  - MorphologicalKernel3d
  - MorphologicalLut2d
  - MorphologicalLut3d
- Model
- - TextureClassificationModel
  - OnnxModel
- Global Measurements
- - Image Measurements
  - - Area2dMsr
    - Area3dMsr
    - IntensityIntegral2dMsr
    - IntensityIntegral3dMsr
    - ObjectCountMsr
    - DistanceMeanMsr
    - Euler2dMsr
    - Euler3dMsr
    - FractalMsr
    - CurvatureIntegralsMsr
  - Image Statistics
  - - IntensityExtremaMsr
    - StatisticsMsr
    - IntensityHistogramMsr
    - IntensityBinHistogramMsr
    - CompareMsr
    - SimilarityMetricValueMsr
    - SsimValueMsr
    - RegionSimilarityMsr
    - SegmentationMetricsObjectMsr
    - SegmentationMetricsImageMsr
    - CylindricalIntensityProfileMsr
    - RadialIntensityProfileMsr
    - CorrelationMsr
    - CoocurrrenceMsr
    - GaussianNoiseMsr
    - LocalMaximaMsr
    - PeakExtractorMsr
  - Individual Measurements
  - - VolumeFractionByLabelMsr
    - LabelCountByRegionMsr
    - VolumeFractionByRegionMsr
  - Moments And Orientations
  - - MomentsOfInertia2dMsr
    - MomentsOfInertia3dMsr
    - MeanInertiaMomentMsr
    - Eccentricity2dMsr
    - LocalOrientation3dMsr
  - Morphometry
  - - ObjectVolumeMsr
    - ImageVolumeMsr
    - ObjectBoundaryAreaMsr
    - ImageBoundaryAreaMsr
    - AverageObjectAreaPerSliceMsr
    - AverageObjectCountPerSliceMsr
    - ObjectImageRatioMsr
    - ObjectSpecificSurfaceMsr
    - ObjectSurfaceDensityMsr
    - PorosityPercentageMsr
    - FragmentationMsr
    - StructureModelIndexMsr
    - AverageObjectThicknessMsr
    - AverageSpaceThicknessMsr
    - ObjectLinearDensityMsr
    - AnisotropyDegreeMsr
  - Propagation
  - - AxisPropagationBinary3dMsr
    - AxisPropagationLabel3dMsr
    - AxisPropagationDistance3dMsr
    - PercolationThreshold3dMsr
    - CentroidTortuosity3dMsr
  - Geometry And Matching
  - - CrossCorrelation2dMsr
  - Edge Detection
  - - CannyEdgeDetectorMsr
  - Image Segmentation
  - - AutoThresholdingMsr
    - AutoSegmentation3PhasesMsr
  - Mathematical Morphology
  - - ApplyMorphologicalLutMsr
- Analysis Measurements
- - AnalysisMsr
  - Measurement
  - Native Measurements
  - - Geometry
    - Feret
    - Intensity
    - Histogram
    - Inertia
    - Locate
    - Segment
    - Cooccurrence
  - CustomMeasurement
  - MeasurementAttributes
  - - Quantile
    - Histogram
    - Feret2d
    - Feret3d
    - NeighborCount
    - Cooccurrence
    - Breadth3d
  - MeasurementGroup
- Measurement Information
- - FieldInformation
  - CustomMeasurementInfo
- CUDA
- - CudaContext
- User Guide
- First Steps
- - Hello ImageDev
  - Initialize ImageDev
- Image Management
- - Create 2D Image
  - Create 3D Image
  - Data Transfer
- Standard Processing
- - Denoising
  - Thresholding
- Image Analysis
- - Global Analysis
  - Label Analysis
  - Measurement Browsing
  - Measurement Group
  - Custom Analysis
- Advanced Processing
- - Algorithm Tracking
- Typical Use Cases
- - Particle Analysis
  - Pore Analysis

# MedianFilter3d

Applies a median operator, which is a non-linear smoothing filter, on a three-dimensional image.
Access to parameter description
For an introduction to image filters: section Images Filtering.
This algorithm uses morphological operators to set the voxel value to the median for the defined neighborhood. This filter is particularly effective for removing speckle noise and salt and pepper noise (impulsive noise) without affecting edges.
The median filter usually works well with images containing non-Gaussian noise and/or very small artifacts. It does not cause blurring to the same extent as the Box Filter, but takes longer to execute.
The gray levels of all voxels of the considered neighborhood are sorted from the smallest value to the largest one. The central voxel in the sort is then the median value (the value for which there are as many lower gray levels as higher ones). The process can be iterated.
Considering the array:
$$\begin{bmatrix} 1 & 2 & 3 \\ 4 & 5 & 6 \\ 7 & 8 & 9 \end{bmatrix} \begin{bmatrix} 12 & 17 & 15 \\ 20 & 14 & 16 \\ 18 & 19 & 14 \end{bmatrix} \begin{bmatrix} 20 & 21 & 22 \\ 23 & 24 & 25 \\ 26 & 27 & 28 \end{bmatrix} $$ The sorted gray level values are: [1 2 3 4 5 6 7 8 9 12 14 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28]. The median value is 16, and it is assigned to the output voxel.
See also

- GaussianFilter3d
- BoxFilter3d
- MedianFilter2d

See related example

- AlgorithmTracking

##
Function Syntax

This function returns outputImage.

    // Function prototype
    std::shared_ptr< iolink::ImageView >
    medianFilter3d( std::shared_ptr< iolink::ImageView > inputImage,
                    uint32_t kernelRadius,
                    MedianFilter3d::KernelMode kernelMode,
                    MedianFilter3d::SearchMode searchMode,
                    std::shared_ptr< iolink::ImageView > outputImage = nullptr );

This function returns outputImage.

    // Function prototype.
    median_filter_3d(input_image: idt.ImageType,
                     kernel_radius: int = 3,
                     kernel_mode: MedianFilter3d.KernelMode = MedianFilter3d.KernelMode.CUBE,
                     search_mode: MedianFilter3d.SearchMode = MedianFilter3d.SearchMode.AUTOMATIC,
                     output_image: idt.ImageType = None) -> idt.ImageType

This function returns outputImage.

    // Function prototype.
    public static IOLink.ImageView
    MedianFilter3d( IOLink.ImageView inputImage,
                    UInt32 kernelRadius = 3,
                    MedianFilter3d.KernelMode kernelMode = ImageDev.MedianFilter3d.KernelMode.CUBE,
                    MedianFilter3d.SearchMode searchMode = ImageDev.MedianFilter3d.SearchMode.AUTOMATIC,
                    IOLink.ImageView outputImage = null );

##
Class Syntax

    // Command constructor.
    MedianFilter3d();

    /// Gets the inputImage parameter.
    /// The input image.
    std::shared_ptr< iolink::ImageView > inputImage() const;
    /// Sets the inputImage parameter.
    /// The input image.
    void setInputImage( std::shared_ptr< iolink::ImageView > inputImage );

    /// Gets the kernelRadius parameter.
    /// The half size of the structuring element. A cube structuring element always has an odd side length (3x3x3, 5x5x5, etc.) which is defined by twice the kernel radius + 1.
    uint32_t kernelRadius() const;
    /// Sets the kernelRadius parameter.
    /// The half size of the structuring element. A cube structuring element always has an odd side length (3x3x3, 5x5x5, etc.) which is defined by twice the kernel radius + 1.
    void setKernelRadius( const uint32_t& kernelRadius );

    /// Gets the kernelMode parameter.
    /// The structuring element shape and application mode.
    MedianFilter3d::KernelMode kernelMode() const;
    /// Sets the kernelMode parameter.
    /// The structuring element shape and application mode.
    void setKernelMode( const MedianFilter3d::KernelMode& kernelMode );

    /// Gets the searchMode parameter.
    /// Handles all types of methods for finding the median.
    MedianFilter3d::SearchMode searchMode() const;
    /// Sets the searchMode parameter.
    /// Handles all types of methods for finding the median.
    void setSearchMode( const MedianFilter3d::SearchMode& searchMode );

    /// Gets the outputImage parameter.
    /// The output image. Its dimensions and type are forced to the same values as the input.
    std::shared_ptr< iolink::ImageView > outputImage() const;
    /// Sets the outputImage parameter.
    /// The output image. Its dimensions and type are forced to the same values as the input.
    void setOutputImage( std::shared_ptr< iolink::ImageView > outputImage );

    // Method to launch the command.
    void execute();

    # Property of the inputImage parameter.
    MedianFilter3d.input_image
    # Property of the kernelRadius parameter.
    MedianFilter3d.kernel_radius
    # Property of the kernelMode parameter.
    MedianFilter3d.kernel_mode
    # Property of the searchMode parameter.
    MedianFilter3d.search_mode
    # Property of the outputImage parameter.
    MedianFilter3d.output_image

    // Method to launch the command.
    execute()

    // Command constructor.
    MedianFilter3d()

    // Property of the inputImage parameter.
    MedianFilter3d.inputImage
    // Property of the kernelRadius parameter.
    MedianFilter3d.kernelRadius
    // Property of the kernelMode parameter.
    MedianFilter3d.kernelMode
    // Property of the searchMode parameter.
    MedianFilter3d.searchMode
    // Property of the outputImage parameter.
    MedianFilter3d.outputImage

    // Method to launch the command.
    Execute()

## Parameters

Parameter Name | Description | Type | Supported Values | Default Value
--- | --- | --- | --- | ---
| inputImage | The input image. | Image | Binary, Label, Grayscale or Multispectral | nullptr
| kernelRadius | The half size of the structuring element. A cube structuring element always has an odd side length (3x3x3, 5x5x5, etc.) which is defined by twice the kernel radius + 1. | UInt32 | >=1 | 3
| searchMode | Handles all types of methods for finding the median.
AUTOMATIC | The algorithm automatically chooses the method to find the median value.
HISTOGRAM | The algorithm uses a histogram to find the median value.
SELECTION | The algorithm uses a shoting by selection to find the median value.
| Enumeration |  | AUTOMATIC
| kernelMode | The structuring element shape and application mode.
CUBE | This mode considers a cube structuring element of side length 2 x kernelRadius + 1 voxels.
BALL | This mode considers a sphere structuring element of diameter 2 x kernelRadius + 1 voxels.
| Enumeration |  | CUBE
| outputImage | The output image. Its dimensions and type are forced to the same values as the input. | Image |  | nullptr

Parameter Name | Description | Type | Supported Values | Default Value
--- | --- | --- | --- | ---
| input_image | The input image. | image | Binary, Label, Grayscale or Multispectral | None
| kernel_radius | The half size of the structuring element. A cube structuring element always has an odd side length (3x3x3, 5x5x5, etc.) which is defined by twice the kernel radius + 1. | uint32 | >=1 | 3
| search_mode | Handles all types of methods for finding the median.
AUTOMATIC | The algorithm automatically chooses the method to find the median value.
HISTOGRAM | The algorithm uses a histogram to find the median value.
SELECTION | The algorithm uses a shoting by selection to find the median value.
| enumeration |  | AUTOMATIC
| kernel_mode | The structuring element shape and application mode.
CUBE | This mode considers a cube structuring element of side length 2 x kernelRadius + 1 voxels.
BALL | This mode considers a sphere structuring element of diameter 2 x kernelRadius + 1 voxels.
| enumeration |  | CUBE
| output_image | The output image. Its dimensions and type are forced to the same values as the input. | image |  | None

Parameter Name | Description | Type | Supported Values | Default Value
--- | --- | --- | --- | ---
| inputImage | The input image. | Image | Binary, Label, Grayscale or Multispectral | null
| kernelRadius | The half size of the structuring element. A cube structuring element always has an odd side length (3x3x3, 5x5x5, etc.) which is defined by twice the kernel radius + 1. | UInt32 | >=1 | 3
| searchMode | Handles all types of methods for finding the median.
AUTOMATIC | The algorithm automatically chooses the method to find the median value.
HISTOGRAM | The algorithm uses a histogram to find the median value.
SELECTION | The algorithm uses a shoting by selection to find the median value.
| Enumeration |  | AUTOMATIC
| kernelMode | The structuring element shape and application mode.
CUBE | This mode considers a cube structuring element of side length 2 x kernelRadius + 1 voxels.
BALL | This mode considers a sphere structuring element of diameter 2 x kernelRadius + 1 voxels.
| Enumeration |  | CUBE
| outputImage | The output image. Its dimensions and type are forced to the same values as the input. | Image |  | null

## Object Examples

    auto foam = readVipImage( std::string( IMAGEDEVDATA_IMAGES_FOLDER ) + "foam.vip" );

    MedianFilter3d medianFilter3dAlgo;
    medianFilter3dAlgo.setInputImage( foam );
    medianFilter3dAlgo.setKernelRadius( 3 );
    medianFilter3dAlgo.setKernelMode( MedianFilter3d::KernelMode::CUBE );
    medianFilter3dAlgo.setSearchMode( MedianFilter3d::SearchMode::AUTOMATIC );
    medianFilter3dAlgo.execute();

    std::cout << "outputImage:" << medianFilter3dAlgo.outputImage()->toString();

    foam = imagedev.read_vip_image(imagedev_data.get_image_path("foam.vip"))

    median_filter_3d_algo = imagedev.MedianFilter3d()
    median_filter_3d_algo.input_image = foam
    median_filter_3d_algo.kernel_radius = 3
    median_filter_3d_algo.kernel_mode = imagedev.MedianFilter3d.CUBE
    median_filter_3d_algo.search_mode = imagedev.MedianFilter3d.AUTOMATIC
    median_filter_3d_algo.execute()

    print("output_image:", str(median_filter_3d_algo.output_image))

    ImageView foam = Data.ReadVipImage( @"Data/images/foam.vip" );

    MedianFilter3d medianFilter3dAlgo = new MedianFilter3d
    {
        inputImage = foam,
        kernelRadius = 3,
        kernelMode = MedianFilter3d.KernelMode.CUBE,
        searchMode = MedianFilter3d.SearchMode.AUTOMATIC
    };
    medianFilter3dAlgo.Execute();

    Console.WriteLine( "outputImage:" + medianFilter3dAlgo.outputImage.ToString() );

## Function Examples

    auto foam = readVipImage( std::string( IMAGEDEVDATA_IMAGES_FOLDER ) + "foam.vip" );

    auto result = medianFilter3d( foam, 3, MedianFilter3d::KernelMode::CUBE, MedianFilter3d::SearchMode::AUTOMATIC );

    std::cout << "outputImage:" << result->toString();

    foam = imagedev.read_vip_image(imagedev_data.get_image_path("foam.vip"))

    result = imagedev.median_filter_3d(foam, 3, imagedev.MedianFilter3d.CUBE, imagedev.MedianFilter3d.AUTOMATIC)

    print("output_image:", str(result))

    ImageView foam = Data.ReadVipImage( @"Data/images/foam.vip" );

    IOLink.ImageView result = Processing.MedianFilter3d( foam, 3, MedianFilter3d.KernelMode.CUBE, MedianFilter3d.SearchMode.AUTOMATIC );

    Console.WriteLine( "outputImage:" + result.ToString() );

© 2025 Thermo Fisher Scientific Inc. All rights reserved.