Skip to main content
Ctrl+K
Logo image

Site Navigation

  • Build, Run, Visualize
  • Contribute
  • Examples
  • Download
  • Credits
  • ITK

Site Navigation

  • Build, Run, Visualize
  • Contribute
  • Examples
  • Download
  • Credits
  • ITK

Section Navigation

  • Bridge
    • VtkGlue
      • Convert an itk::Image to vtkImageData
      • Convert an RGB itk::Image to vtkImageData
      • Convert RGB vtkImageData to an itk::Image
      • Convert vtkImageData to an itk::Image
      • Visualize an Evolving Dense 2D Level Set as Elevation Map
      • Visualize an Evolving Dense 2D Level-Set Zero-Set
      • Visualize a Static Dense 2D Level Set as Elevation Map
      • Visualize a Static Dense 2D Level-Set Zero-Set
      • Visualize a Static Sparse Malcolm 2D Level-Set Layers
      • Visualize a Static Sparse Shi 2D Level-Set Layers
      • Visualize a Static Sparse Whitaker 2D Level-Set Layers
      • VTK Image to ITK Image
    • NumPy
      • Interface ITK with NumPy Array
        • Bridging ITK image data with NumPy array
  • Core
    • Common
      • Add Noise To Binary Image
      • Add Offset To Index
      • Apply a Filter Only to a Specified Region of an Image
      • Apply Custom Operation to Each Pixel in Image
      • Bounding Box of a Point Set
      • Bresenham Line
      • Build a Hello World Program
      • Cast Vector Image to Another Type
      • Check if Module Is Present
      • Compute Time Between Points
      • Concept Checking Is Floating Point
      • Concept Checking Is Same Dimension
      • Concept Checking Is Same Type
      • Convert Array to Image
      • Covariant Vector Dot Product
      • Covariant Vector Norm
      • Create a Backward Difference Operator
      • Create a CovariantVector
      • Create a Fixed Array
      • Create a Index
      • Create a PointSet
      • Create a Size
      • Create a Vector
      • Create an Image
      • Create an Image Region
      • Create an Image of Vectors
      • Create an RGB Image
      • Create Another Instance Of A Filter
      • Create Another Instance of an Image
      • Create Derivative Kernel
      • Create Forward Difference Kernel
      • Create Gaussian Derivative Kernel
      • Create Gaussian Kernel
      • Create Laplacian Kernel
      • Create Sobel Kernel
      • Create Vector Image
      • Crop Image by Specifying Region
      • Deep Copy Image
      • Demonstrate All Operators
      • Direct Warning to File
      • Display Image
      • Distance Between Indices
      • Distance Between Points
      • Do Data Parallel Threading
      • Duplicate an Image
      • Eagerly Load Python Modules
      • Filter and ParallelizeImageRegion Comparison
      • Filter Image
      • Filter Image Using Multiple Threads
      • Filter Image Without Copying Its Data
      • Find Max and Min in Image
      • Generate the Offsets of a Shaped Image Neighborhood
      • Get Image Size
      • Get Name of Class
      • Get or Set Member Variable of ITK Class
      • Get Type Basic Information
      • Iterate Over an Image Buffer and an Index Range
      • Image Region Intersection
      • Image Region Overlap
      • Import Pixel Buffer Into an Image
      • In Place Filter of Image
      • Is Pixel Inside Region
      • Iterate Image Starting at Seed
      • Iterate Line Through Image
      • Iterate Line Through Image Without Write Access
      • Iterate on a Vector Container
      • Iterate Over a Region With a Shaped Neighborhood Iterator
      • Iterate Over a Region With a Shaped Neighborhood Iterator Manually
      • Iterate Over Image While Skipping Specific Region
      • Iterate Region in Image With Access to Index Without Write Access
      • Iterate Region in Image With Access to Current Index With Write Access
      • Iterate Region in Image With Neighborhood
      • Iterate Region in Image With Neighborhood Without Write Access
      • Iterate Region in Image With Write Access
      • Iterate Region in Image Without Write Access
      • Make Out of Bounds Pixels Return Constant Value
      • Make Part of an Image Transparent
      • Matrix
      • Matrix Inverse
      • Mersenne Twister Random Integer Generator
      • Mersenne Twister Random Number Generator
      • Mini Pipeline
      • Multiple Inputs of Different Type
      • Multiple Inputs of Same Type
      • Multiple Outputs of Different Type
      • Multiple Outputs of Same Type
      • Multi-thread Oil Painting
      • Neighborhood Iterator on Vector Image
      • Observe an Event
      • Pass Image to Function
      • Permute Sequence of Indices
      • Pi Constant
      • Print ITK Python Module Loading
      • Produce Image Programmatically
      • Random Selection of Pixels From Region
      • Random Select Pixel From Region Without Replacing
      • Read a PointSet
      • Read Write Vector Image
      • Re-Run Pipeline With Changing Largest Possible Region
      • Return Object From Function
      • Set the Default Number of Threads
      • Set Pixel Value in One Image
      • Sort ITK Index
      • Store Non-Pixel Data In Image
      • Stream a Pipeline
      • Throw Exception
      • Trace Memory Between Points
      • Try Catch Exception
      • Use ParallelizeImageRegion
      • Variable Length Vector
      • Vector Dot Product
      • Watch a Filter
      • Write a PointSet
    • ImageAdaptors
      • Add Constant to Every Pixel Without Duplicating Memory
      • Extract Channel of Image With Multiple Components
      • Present Image After Operation
      • Process Nth Component of Vector Image
      • View Component Vector Image as Scalar Image
    • ImageFunction
      • Compute Median of Image at Pixel
      • Linearly Interpolate Position in Image
      • Multiply Kernel With an Image at Location
      • Resample Segmented Image
    • Mesh
      • Access data in cells
      • Add Points and Edges
      • Calculate Area and Volume of Simplex Mesh
      • Convert Mesh to Unstructered Grid
      • Convert Triangle Mesh to Binary Image
      • Extract Iso Surface
      • Translate One Mesh
      • Working With Point and Cell Data
      • Write Mesh to VTP
    • QuadEdgeMesh
      • Create Triangular Quad Edge Mesh
      • Cut Mesh
      • Extract Vertex on Mesh Boundaries
      • Get List of Faces Around a Given Vertex
      • Print Vertex Neighbors
    • SpatialObjects
      • Blob
      • Contour Spatial Object
      • Convert Spatial Object to Image
      • Create a Line Spatial Object
      • Ellipse
    • TestKernel
      • Generate Random Image
    • Transform
      • Apply Affine Transform From Homogeneous Matrix and Resample
      • Cartesian to Azimuth Elevation
      • Copy a CompositeTransform
      • Copy a Non-CompositeTransform
      • Global Registration Two Images (Affine)
      • Global Registration of Two Images (BSpline)
      • Mutual Information Affine
        • Mutual Information Metric
      • Scale an Image
      • Translate a Vector Image
      • Translate Image
      • Deform a Volume With a Thin Plate Spline
  • External
  • Filtering
    • AnisotropicSmoothing
      • Compute Curvature Anisotropic Diffusion
      • Compute Curvature Flow
      • Compute Gradient Anisotropic Diffusion
      • Perona Malik Anisotropic Diffusion on Grayscale Image
      • Smooth Image While Preserving Edges
      • Smooth Image While Preserving Edges (Curvature)
    • AntiAlias
      • Smooth Binary Image Before Surface Extraction
    • Binary Mathematical Morphology
      • Closing Binary Image
      • Dilate a Binary Image
      • Erode a Binary Image
      • Opening a Binary Image
      • Prune Binary Image
      • Thin Image
    • Colormap
      • Apply a Color Map to an Image
      • Create a Custom Color Map
      • Map Scalars Into Jet Colormap
    • Convolution
      • Color Normalized Correlation
      • Convolve Image With Kernel
      • Normalized Correlation
      • Normalized Correlation of Masked Image
      • Normalized Correlation Using FFT
      • Normalized Correlation Using FFT With Mask Images for Input Images
    • CurvatureFlow
      • Binary Min and Max Curvature Flow of Binary Image
      • Smooth Image Using Curvature Flow
      • Smooth Image Using Min Max Curvature Flow
      • Smooth RGB Image Using Curvature Flow
      • Smooth RGB Image Using Min Max Curvature Flow
    • DistanceMap
      • Approximate Distance Map of Binary Image
      • Maurer Distance Map of Binary Image
      • Mean Distance Between All Points on Two Curves
      • Signed Distance Map of Binary Image
    • FastMarching
      • Compute Geodesic Distance on Mesh
      • Create Distance Map From Seeds
    • FFT
      • Compute Forward FFT
      • Compute Image Spectral Density
      • Compute Inverse FFT of Image
      • Filter Image in Fourier Domain
    • ImageCompare
      • Absolute Value Of Difference Between Two Images
      • Combine Two Images With Checker Board Pattern
      • Squared Difference of Two Images
    • ImageCompose
      • Compose Vector From Three Scalar Images
      • Convert Real and Imaginary Images to Complex Image
      • Create Vector Image From Scalar Images
      • Join Images
    • ImageFeature
      • Add Gaussian Noise to an Image
      • Apply a Filter Only to a Specified Image Region
      • Apply a Filter to a Specified Region of an Image
      • Bilateral Filter an Image
      • Compute Laplacian
      • Detect Edges With Canny Edge Detection Filter
      • Compute Derivative
      • Extract Contours From Image
      • Find Zero Crossings in Signed Image
      • Laplacian Recursive Gaussian Image Filter
      • Segment Blood Vessels
      • Sharpen Image
      • Sobel Edge Detection Image Filter
      • Zero-crossing Based Edge Decor
    • ImageFilterBase
      • Apply Kernel to Every Pixel
      • Apply Kernel to Every Pixel in Non-Zero Image
      • Cast an Image to Another Type
      • Compute Local Noise in Image
      • Custom Operation to Corresponding Pixels in Two Images
      • Predefined Operation to Corresponding Pixels in Two Images
    • ImageFusion
      • Color Boundaries of Labeled Regions
      • Color Labeled Regions in Image
      • Overlay Label Map on Image
      • Overlay Label Map on Top of an Image
    • ImageGradient
      • Apply GradientRecursiveGaussianImageFilter
      • Apply GradientRecursiveGaussianImageFilter on Image With Vector type
      • Compute and Display Gradient of Image
      • Compute Gradient Magnitude of Grayscale Image
      • Compute Gradient Magnitude Recursive Gaussian of Grayscale Image
      • Gradient of Vector Image
      • Implementation of Snakes
    • ImageGrid
      • Append Two 3D Volumes
      • Change Image Origin Spacing or Direction
      • Create 3D Volume
      • Crop Image by Specifying Region
      • Extract Region of Interest in One Image
      • Fit Spline Into Point Set
      • Flip an Image Over Specified Axes
      • Pad an Image by Mirroring
      • Pad an Image With a Constant
      • Pad Image by Wrapping
      • Paste Image Into Another One
      • Permute Axes of an Image
      • Process a 2D Slice of a 3D Image
      • Resample an Image
      • Resample a Scalar Image
      • Resample a Vector Image
      • Run Image Filter on Region of Image
      • Shrink Image
      • Stack 2D Images Into 3D Image
      • Tile Images Side by Side
      • Upsample an Image
      • Warp an Image Using a Deformation Field
    • ImageIntensity
      • Absolute Value of Image
      • Add Constant to Every Pixel
      • Add Two Images Together
      • Apply Atan Image Filter
      • Apply Cos Image Filter
      • Apply Exp Negative Image Filter
      • Apply Sin Image Filter
      • Binary AND Two Images
      • Binary OR Two Images
      • Binary XOR Two Images
      • Cast Image to Another Type but Clamp to Output Range
      • Compare Two Images and Set Output Pixel to Max
      • Compare Two Images and Set Output Pixel to Min
      • Compute Edge Potential
      • Compute Sigmoid
      • Computer Magnitude in Vector Image to Make Magnitude Image
      • Convert RGB Image to Grayscale Image
      • Extract Component of Vector Image
      • Intensity Windowing
      • Inverse of Mask to Image
      • Invert Image
      • Mask Image
      • Multiply Image by Scalar
      • Multiply Two Images
      • Normalize Image
      • Pixel Division of Two Images
      • Rescale an Image
      • Scale All Pixel’s Sum to Constant
      • Square Every Pixel
      • Subtract Constant From Every Pixel
      • Subtract Two Images
      • Transform Magnitude of Vector Valued Image Pixels
    • ImageLabel
      • Extract Inner and Outer Boundaries of Blobs in Binary Image
      • Extract Boundaries of Connected Regions in Binary Image
      • Label Contours of Connect Components
    • ImageStatistics
      • Adaptive Histogram Equalization Image Filter
      • Apply Accumulate Image Filter
      • Compute Min, Max, Variance and Mean of Image
      • Compute PCA Shape From Training Sample
      • Statistical Properties of Labeled Regions
      • Calculate Image Moments
        • Calculate Image Moments of an Ellipse
    • LabelMap
      • Apply Morphological Closing on All Label Objects
      • Apply Morphological Closing on Specific Label Object
      • Convert itk::Image With Labels to Label Map
      • Convert Image With Labeled Regions to ShapeLabelMap
      • Convert Label Map to Normal Image
      • Extract Given Label Object
      • Invert Image Using Binary Not Operation
      • Keep Binary Regions That Meet Specific Properties
      • Keep Regions Above Certain Level
      • Keep Regions That Meet Specific Properties
      • Label Binary Regions and Get Properties
      • Label Binary Regions in Image
      • Mask One Image Given Label Map
      • Merge LabelMaps
      • Remove Holes Not Connected to Image Boundaries
      • Remove Labels From Label Map
      • Shape Attributes for Binary Image
    • MathematicalMorphology
      • Create a Binary Ball Structuring Element
      • Dilate a grayscale image
      • Erode a Grayscale Image
      • Erode Binary Image Using Flat Structure Element
      • Generate Structuring Elements With Accurate Area
      • Regional Maximal
      • Regional Minimal
      • Valued Regional Maxima Image
      • Valued Regional Minimal Image
    • Path
      • Data Structure for Piece-Wise Linear Curve
      • Extract Contours From Image
    • QuadEdgeMeshFiltering
      • Clean Quad Edge Mesh
      • Compute Normals of a Mesh
      • Compute Planar Parameterization of a Mesh
      • Delaunay Conform Edge Flipping
    • Smoothing
      • Blurring an Image Using a Binomial Kernel
      • Computes Smoothing With Gaussian Kernel
      • Find Higher Derivatives of Image
      • Mean Filtering of an Image
      • Median Filtering of an Image
      • Median Filtering of an RGB Image
      • Smooth Image With Discrete Gaussian Filter
    • Thresholding
      • Demonstrate Available Threshold Algorithms
      • Separate Foreround and Background Using Otsu Method
      • Threshold an Image
      • Threshold an Image Using Binary Thresholding
      • Threshold an Image Using Otsu
  • GPU
  • IO
    • GDCM
      • Read and Print DICOM Tags
      • Read DICOM Series and Write 3D Image
      • Resample DICOM Series
    • ImageBase
      • Convert File Formats
      • Convert Image to Another Type
      • Create 3D Volume From Series of 2D Images
      • Create a List of File Names
      • Generate Slices From Volume
      • Process Image Chunks
      • Read an Image
      • Read Unknown Image Type
      • Register IO Factories
      • Write an Image
    • Mesh
      • Read Mesh
    • TIFF
      • Write a TIFF Image
    • TransformBase
      • Read Transform From File
      • Write Transform From File
    • TransformFactory
      • Register Transform With Transform Factory
  • Numerics
    • Optimizers
      • Amoeba Optimizer
      • Exhaustive Optimizer
        • Visualize Parameter Space with Exhaustive Optimizer
      • Levenberg-Marquardt Optimization
    • Statistics
      • 2D Gaussian Mixture Model Expectation Maximum
      • Compute Histogram From Grayscale Image
      • Compute Histogram of Masked Region in Image
      • Compute Texture Features
      • Create Gaussian Distribution
      • Create Histogram From List of Measurements
      • Create List of Sample Measurements
      • Create List of Samples From Image Without Duplication
      • Create List of Samples With Associated ID’s
      • Distribute Sampling Using GMM EM
      • Distribution of Pixels Using GMM EM
      • Histogram Creation and Bin Access
      • Spatial Search
  • Nonunit
    • Review
      • Geometric Properties of Labeled Region
      • Multiphase Chan and Vese Sparse Field Level Set Segmentation
      • Segment Blood Vessels With Multi-Scale Hessian-Based Measure
      • Singlephase Chan and Vese Dense Field Level Set Segmentation
      • Singlephase Chan and Vese Sparse Field Level Set Segmentation
  • Registration
    • Common
      • Compute Mean Squares Metric Between Two Images
      • Global Registration of Two Images
      • Match Feature Points
      • Multiresolution Pyramid From Image
      • Mutual Information
        • Mutual Information Metric
      • Perform 2D Translation Registration With Mean Squares
      • Perform Multi Modality Registration With Viola Wells Mutual Information
      • Register Image to Another Using Landmarks
      • Watch Registration
    • Metricsv4
      • Perform Registration on Vector Images
      • Register Two Point Sets
        • Register Two Point Sets
  • Segmentation
    • Classifiers
      • Cluster Pixels in Grayscale Image
      • K-Means Clustering
      • K Means Cluster of Pixels in Image
    • ConnectedComponents
      • Assign Contiguous Labels to Connected Regions in an Image
      • Extra Largest Connect Component From Binary Image
      • Label Connect Components in Binary Image
      • Label Connect Components in Grayscale Image
    • KLMRegionGrowing
      • Basic Region Growing
    • LabelVoting
      • Iterative Hole Filling
    • LevelSets
      • Segment With Geodesic Active Contour Level Set
    • RegionGrowing
      • Connected Components in Image
      • Segment Pixels With Similar Statistics
    • Voronoi
      • Voronoi Diagram
    • Watersheds
      • Morphological Watershed Segmentation
      • Watershed Image Filter
  • Video
    • BridgeOpenCV
      • Convert an ITK Gray Scale Image to CV Mat
  • Examples
  • Filtering
  • Thresholding

Thresholding#

  • Demonstrate Available Threshold Algorithms
  • Separate Foreround and Background Using Otsu Method
  • Threshold an Image
  • Threshold an Image Using Binary Thresholding
  • Threshold an Image Using Otsu

previous

Smooth Image With Discrete Gaussian Filter

next

Demonstrate Available Threshold Algorithms
Edit on GitHub
Creative Commons License
Documentation and code by the Insight Software Consortium is licensed under a
Creative Commons Attribution 3.0 Unported License and Apache 2.0 License, respectively.
Last updated on Oct 31, 2023.
Created using Sphinx 4.4.0, and CMake.