ITK/Examples: Difference between revisions

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==Image Processing==
==Image Processing==
{{ITKExamplesTable}}  
{{ITKExamplesTable}}  
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| [[ITK/Examples/ImageProcessing/MaximumImageFilter | Pixel wise compare two input images and set the output pixel to their max]] || {{ITKDoxygenURL|MaximumImageFilter}} ||
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| [[ITK/Examples/ImageProcessing/MinimumImageFilter | Pixel wise compare two input images and set the output pixel to their min]] || {{ITKDoxygenURL|MinimumImageFilter}} ||  
| [[ITK/Examples/ImageProcessing/MinimumImageFilter | Pixel wise compare two input images and set the output pixel to their min]] || {{ITKDoxygenURL|MinimumImageFilter}} ||  

Revision as of 17:29, 5 June 2019

Warning: The media wiki content on this page is no longer maintained. The examples presented on the https://itk.org/Wiki/* pages likely require ITK version 4.13 or earlier releases. In many cases, the examples on this page no longer conform to the best practices for modern ITK versions. Recent examples that are up to date with ITK version 5 can be found at ITK Examples

CMake Techniques

Example Name ITK Classes Demonstrated Description
Check if a specific module is present
Check for ITK4

Visualization

Example Name ITK Classes Demonstrated Description
Display an image QuickView

Simple Operations

Example Name ITK Classes Demonstrated Description

Mathematical Operations

Example Name ITK Classes Demonstrated Description

Trigonometric Filters

Example Name ITK Classes Demonstrated Description

Image Functions

Example Name ITK Classes Demonstrated Description

Point Set

Example Name ITK Classes Demonstrated Description

Input/Output (IO)

Example Name ITK Classes Demonstrated Description
Display an ITK image ImageToVTKImageFilter
Create a 3D volume from a series of 2D images ImageSeriesReader Uses NumericSeriesFileNames to generate a list of file names

DICOM

Example Name ITK Classes Demonstrated Description

Blob Detection, Labeling, and Properties

Example Name ITK Classes Demonstrated Description

Correlation

Example Name ITK Classes Demonstrated Description

Image Processing

Example Name ITK Classes Demonstrated Description
Pixel wise compare two input images and set the output pixel to their min MinimumImageFilter
Binary AND two images AndImageFilter
Binary OR two images OrImageFilter
Binary XOR (exclusive OR) two images XorImageFilter
Invert an image using the Binary Not operation BinaryNotImageFilter
Compose a vector image (with 3 components) from three scalar images ComposeImageFilter
Extract a component/channel of an itkImage with pixels with multiple components NthElementImageAdaptor Use built in functionality to extract a component of an itkImage with CovariantVector components. Note this does not work for itkVectorImages - see VectorIndexSelectionCastImageFilter instead.
Present an image by first performing an operation ImageAdaptor A demonstration of how to present an image pixel as a function of the pixel. In this example the functionality of NthElementImageAdaptor is demonstrated.
Process the nth component/element/channel of a vector image NthElementImageAdaptor
Convolve an image with a kernel ConvolutionImageFilter Convolution.
Crop an image by specifying the region to keep ExtractImageFilter
Crop an image by specifying the region to throw away CropImageFilter
Compute the absolute value of an image AbsImageFilter magnitude
Invert an image InvertIntensityImageFilter
Apply a mask to an image MaskImageFilter
Apply the inverse of a mask to an image MaskNegatedImageFilter
Apply a custom operation to each pixel in an image UnaryFunctorImageFilter Perform a custom operation on every pixel in an image. This example rotates the vector-valued pixels by 90 degrees.
Apply a predefined operation to corresponding pixels in two images BinaryFunctorImageFilter
Apply a custom operation to corresponding pixels in two images BinaryFunctorImageFilter This example computes the squared difference between corresponding pixels.
Find the minimum and maximum value (and the position of the value) in an image MinimumMaximumImageCalculator
Stack multiple 2D images into a 3D image TileImageFilter
Tile multiple images side by side TileImageFilter
Normalize an image NormalizeImageFilter
Cast an image from one type to another but clamp to the output value range ClampImageFilter
Linearly interpolate a position in an image LinearInterpolateImageFunction
HammingWindowFunction HammingWindowFunction
Run an image filter on a region of an image PasteImageFIlter This example uses the RequestedRegion of a filter to process a subset of an image.

Vector Images

Example Name ITK Classes Demonstrated Description
Compute the magnitude of each pixel in a vector image to produce a magnitude image VectorMagnitudeImageFilter
Create a vector image VectorImage An image with an ND vector at each pixel
Create a vector image from a collection of scalar images ComposeImageFilter Combine, layer
View a component of a vector image as if it were a scalar image VectorImageToImageAdaptor
Extract a component/channel of a vector image VectorIndexSelectionCastImageFilter This works with VectorImage as well as Image<Vector>
Translate a vector image TranslationTransform, VectorResampleImageFilter
Join images, stacking their components JoinImageFilter concatenate, channels
Stack scalar images into a VectorImage ImageToVectorImageFilter
NeighborhoodIterator on a VectorImage VectorImage NeighborhoodIterator
Cast a VectorImage to another type of VectorImage VectorImage

Iterating Over (Traversing) An Image

Example Name ITK Classes Demonstrated Description
Iterator over an image skipping a specified region ImageRegionExclusionConstIteratorWithIndex
Randomly select pixels from a region of an image ImageRandomConstIteratorWithIndex
Randomly select pixels from a region of an image without replacement ImageRandomNonRepeatingConstIteratorWithIndex
Iterate over a line through an image LineIterator Walks a Bresenham line through an image (with write access)
Iterate over a line through an image without write access LineConstIterator Walks a Bresenham line through an image (without write access)
Iterate over the central region (non-boundary) separately from the face-regions (boundary) ImageBoundaryFacesCalculator
Iterate over a region of an image with a neighborhood (with write access) NeighborhoodIterator
Iterate over a region of an image with a neighborhood (without write access) ConstNeighborhoodIterator
Iterate over a region of an image (with write access) ImageRegionIterator
Iterate over a region of an image (without write access) ImageRegionConstIterator
Make out of bounds pixels return a constant value ConstantBoundaryCondition
Iterate over a region of an image with efficient access to the current index (with write access) ImageRegionIteratorWithIndex
Iterate over a region of an image with efficient access to the current index (without write access) ImageRegionConstIteratorWithIndex

Kernels

Example Name ITK Classes Demonstrated Description
Create a Gaussian kernel GaussianOperator
Create a Gaussian derivative kernel GaussianDerivativeOperator
Create a Laplacian kernel LaplacianOperator
Create a derivative kernel DerivativeOperator
Create the Sobel kernel SobelOperator
Create a forward difference kernel ForwardDifferenceOperator

Image Edges, Gradients, and Derivatives

Example Name ITK Classes Demonstrated Description
Find higher derivatives of an image RecursiveGaussianImageFilter
Extract the boundaries of connected regions in a binary image BinaryContourImageFilter Blob boundary, border
Extract the inner and outer boundaries of blobs in a binary image BinaryContourImageFilter
A zero-crossing based edge detecor ZeroCrossingBasedEdgeDetectionImageFilter

Smoothing

Example Name ITK Classes Demonstrated Description
BinaryMinMaxCurvatureFlow a binary image BinaryMinMaxCurvatureFlowImageFilter
Smooth an image with a discrete Gaussian filter DiscreteGaussianImageFilter
Bilateral filter an image BilateralImageFilter Edge preserving smoothing.
Smooth an image using curvature flow CurvatureFlowImageFilter
Smooth an RGB image using curvature flow CurvatureFlowImageFilter Run curvature flow on each component of the RGB image
Smooth an image using min/max curvature flow MinMaxCurvatureFlowImageFilter
Smooth an RGB image using min/max curvature flow MinMaxCurvatureFlowImageFilter Run mon/max curvature flow on each component of the RGB image
Smooth an image while preserving edges VectorGradientAnisotropicDiffusionImageFilter Anisotropic diffusion.
Smooth an image while preserving edges VectorCurvatureAnisotropicDiffusionImageFilter Anisotropic diffusion.

Morphology

Example Name ITK Classes Demonstrated Description
Prune a binary image BinaryPruningImageFilter
Opening a binary image BinaryMorphologicalOpeningImageFilter
Closing a binary image BinaryMorphologicalClosingImageFilter
Erode a binary image using a flat (box) structuring element FlatStructuringElement
Generate structuring elements with accurate area FlatStructuringElement In itkFlatStructuringElement, setting the foregroundHasAccurateArea flag to true will generate structuring elements with more accurate areas, which can be especially important when morphological operations are intended to remove or retain objects of particular sizes.

Curves

Example Name ITK Classes Demonstrated Description
Compute the mean distance between all points of two curves ContourMeanDistanceImageFilter
A data structure for a piece-wise linear curve PolyLineParametricPath

Spectral Analysis

Example Name ITK Classes Demonstrated Description
Compute the FFT of an image ForwardFFTImageFilter
Compute the inverse FFT of an image InverseFFTImageFilter
Compute the FFT of an image VnlFFTRealToComplexConjugateImageFilter
Compute the cross-correlation of two images in the Fourier domain VnlFFTRealToComplexConjugateImageFilterVnlFFTComplexConjugateToRealImageFilter
Convert a real image and an imaginary image to a complex image ComposeImageFilter

Utilities

Example Name ITK Classes Demonstrated Description
Add noise to a binary image ImageRandomNonRepeatingIteratorWithIndex Add uniform random noise to an image
Sort itk::Index Image Lexicographic, ordering
Return an object from a function
Create another instance of an image
Create another instance of the same type of object
Pass an image to a function Image
Cartesian to AzimuthElevation and vice-versa AzimuthElevationToCartesianTransform
Deep copy an image
Permute a sequence of indices ImageRandomNonRepeatingConstIteratorWithIndex
Map scalars into a jet colormap JetColormapFunctor
Direct itk warnings to the console TextOutput
Direct itk warnings to a file FileOutputWindow

Statistics

Example Name ITK Classes Demonstrated Description
Compute histograms in a sliding window. MovingHistogramImageFilter
Compute a histogram from an RGB image. ImageToHistogramFilterRGB
Compute a histogram from a itk::VectorImage. ImageToHistogramFilterVectorImage
Compute min, max, variance and mean of an Image. StatisticsImageFilter
Create a Gaussian distribution GaussianDistribution
Create a histogram from a list of sample measurements SampleToHistogramFilter
Create a list of sample measurements ListSample
Create a list of samples from an image without duplicating the data ImageToListSampleAdaptor
Create a list of samples with associated class IDs MembershipSample
2D Gaussian Mixture Model Expectation Maximization ExpectationMaximizationMixtureModelEstimator EM
1D KMeans Clustering KdTreeBasedKMeansClustering
3D KMeans Clustering KdTreeBasedKMeansClustering
Spatial search KdTreeGenerator
Cluster the pixels in a greyscale image ScalarImageKmeansImageFilter
Compute the local noise in an image NoiseImageFilter
Compute kmeans clusters KdTreeBasedKmeansEstimator
Extract texture features using GLCM ScalarImageToCooccurrenceMatrixFilter

Spatial Objects

Example Name ITK Classes Demonstrated Description
Convert a spatial object to an image SpatialObjectToImageFilter
Ellipse EllipseSpatialObject Circle, dot
Line spatial object LineSpatialObject, LineSpatialObjectPoint Specify a piecewise-linear object by specifying points along the line.
Plane spatial object PlaneSpatialObject
Blob BlobSpatialObject

Inspection

Example Name ITK Classes Demonstrated Description
Printing a pixel value to the console GetPixel

Metrics

Example Name ITK Classes Demonstrated Description
Compute the mean squares metric between two images MeanSquaresImageToImageMetric

Image Registration

Example Name ITK Classes Demonstrated Description
Rigidly register one image to another using manually specified landmarks LandmarkBasedTransformInitializer
Register one image to another using manually specified landmarks DeformationFieldTransform
A basic global registration of two images ImageRegistrationMethod, TranslationTransform Translation only transform.
A global registration of two images ImageRegistrationMethod, AffineTransform Full affine transform.
A global registration of two images ImageRegistrationMethod, BSplineDeformableTransform BSpline transform.
Mutual Information MutualInformationImageToImageMetric, TranslationTransform Global registration by maximizing the mutual information and using a translation only transform
Mutual Information Affine MutualInformationImageToImageMetric, AffineTransform Global registration by maximizing the mutual information and using an affine transform
ExhaustiveOptimizer ExhaustiveOptimizer An optimizer that fully samples a grid on the parametric space
WatchRegistration MattesMutualInformationImageToImageMetric Watch the iterations of a registration using VTK.

Image Segmentation

Example Name ITK Classes Demonstrated Description
Extract contours from an image ContourExtractor2DImageFilter
Morphological Watershed segmentation MorphologicalWatershedImageFilter
Mean shift clustering SampleMeanShiftClusteringFilter
Voronoi diagram VoronoiDiagram2DGenerator, VoronoiDiagram2D
Label connected components in a binary image ConnectedComponentImageFilter
Label connected components in a grayscale image ScalarConnectedComponentImageFilter
Assign contiguous labels to connected regions of an image RelabelComponentImageFilter
Label the contours of connected components LabelContourImageFilter
Segment pixels with similar statistics using connectivity ConfidenceConnectedImageFilter
Convert an itk::Image consisting of labeled regions to a LabelMap

LabelImageToLabelMapFilter ||

Extract the largest connected component from a Binary Image
Simple implementation of Snakes
Extract the largest connected component from a Binary Image
Demonstrate available threshold algorithms
Demonstrate connected component algorithm using available threshold algorithms

Meshes

Example Name ITK Classes Demonstrated Description
Decimation
Add points and edges
Subdivide an itk::QuadEdgeMesh LoopTriangleCellSubdivisionQuadEdgeMeshFilter Perform a loop triangle cell subdivision on a spherical quad edge mesh.
Calculate Area and Volume of an itk::SimplexMesh SimplexMeshVolumeCalculator Calculate the area and volume of an itk::SimplexMesh.
Convert an itk::Mesh to a vtkUnstructuredGrid
Write an itk::Mesh to a vtp (vtkPolyData) file VTKPolyDataWriter
Working with PointData and CellData Mesh Associate point and cell data with a mesh.

Need Demo

This section consists of examples which compile and work, but a good demonstration image must be selected and added.

Example Name ITK Classes Demonstrated Description

Wish List

Example Name ITK Classes Demonstrated Description
Match feature points (hierarchically?) BlockMatchingImageFilter Segfault.
Uses a custom user matrix to align the image with DICOM physical space ImageToVTKImageFilter Need demo image.
Compute a PCA shape model from a training sample ImagePCAShapeModelEstimator

Estimate the principal modes of variation of a shape from a training sample. Useful for shape guide segmentation. Need example input files and arguments.

Multiphase Chan And Vese Sparse Field Level Set Segmentation ScalarChanAndVeseSparseLevelSetImageFilter, ScalarChanAndVeseLevelSetFunction Need example input files and arguments.
Single-phase Chan And Vese Sparse Field Level Set Segmentation ScalarChanAndVeseSparseLevelSetImageFilter, ScalarChanAndVeseLevelSetFunction Need example input files and arguments.
KMeans Clustering Need example input files and arguments.
Single-phase Chan And Vese Dense Field Level Set Segmentation ScalarChanAndVeseDenseLevelSetImageFilter, ScalarChanAndVeseLevelSetFunction Need example input files and arguments.
DisconnectPipeline
ConditionalConstIterator ConditionalConstIterator
Compute texture features ScalarImageToTextureFeaturesFilter How to interpret the output?
Resample an itk::VectorImage
Compute the histogram of a masked region of an image MaskedImageToHistogramFilter
Fit a spline to a point set BSplineScatteredDataPointSetToImageFilter
BinaryPruningImageFilter BinaryPruningImageFilter
Compute distributions of image pixels using GMM EM GaussianMixtureModelComponent
LevenbergMarquart
IterativeClosestPoints
Demonstrate all operators NeighborhoodOperator
Color Normalized Correlation NormalizedCorrelationImageFilter
ContourSpatialObject ContourSpatialObject
Store non-pixel associated data in an image MetaDataDictionary
Level Sets
Region Growing
Separate foreground and background using Otsu's method OtsuThresholdImageFilter
Extract contours from an image SimpleContourExtractorImageFilter
Present an image of RGBPixel pixels as an image of vectors RGBToVectorImageAdaptor
HoughTransform2DCirclesImageFilter HoughTransform2DCirclesImageFilter
HoughTransform2DLinesImageFilter HoughTransform2DLinesImageFilter
Write data from Matlab in a format readable by ITK
Write data from ITK in a format readable by Matlab
Compute edge potential EdgePotentialImageFilter

Included in the ITK Repository

Example Name ITK Classes Demonstrated Description
Image registration

Matlab

Example Name ITK Classes Demonstrated Description

Developer Examples

Example Name ITK Classes Demonstrated Description
Throw an exception
Produce an image programmatically. ImageSource Nothing in, image out.
Filter an image ImageToImageFilter Image in, same type of image out.
Filter an image without copying its data InPlaceImageFilter
Filter an image using multiple threads ImageToImageFilter
Multi-threaded oil painting image filter ImageToImageFilter and MinimumMaximumImageCalculator A simple multi-threaded scenario (oil painting artistic filter). You can also use this class as-is (copy .h and .txx files into your project and use them).
Write a filter with multiple inputs of the same type. ImageToImageFilter Two images in (same type), same type of image out.
Write a filter with multiple inputs of different types. ImageToImageFilter Two images in (different type), image (same type as first input) out.
Write a filter with multiple outputs of the same type. ImageToImageFilter Images in, two images out (same type as first input).
Write a filter with multiple outputs of different types. ImageToImageFilter Images in, two images out (different types).
Get or set a member variable of an ITK class. SetMacro, GetMacro
Output an error, a warning, or debug information. DebugMacro, ErrorMacro, WarningMacro
MiniPipeline

Problems

Small Problems

Example Name ITK Classes Demonstrated Description
Compute kmeans clusters of pixels in an image ImageKmeansModelEstimator Segfault.
Iterate over an image starting at a seed and following a rule for connectivity decisions FloodFilledImageFunctionConditionalIterator
Traverse a region using a flood fill iterator FloodFilledSpatialFunctionConditionalIterator How to do this?
Compute the gradient of a vector image GradientImageFilter How to do this?
Compute distributions of image pixels using GMM EM ExpectationMaximizationMixtureModelEstimator
Compute distributions of samples using GMM EM ExpectationMaximizationMixtureModelEstimator Someone please confirm that this outputs the mean and the variance (i.e. I used a standard deviation of 30 to create the samples and the second estimated parameter is near 1000 (~30^2) . Is this correct?)
Compute the histogram of an image Statistics_1_1ImageToHistogramFilter The last entry of the red histogram should contain several values, but it is 0?
Classifying pixels using KMeans KmeansModelEstimator How to apply the labels of the filter to the input image?
Basic region growing RegionGrowImageFilter Just getting started with demo...
Find connected components in an image ConnectedThresholdImageFilter Just need to finish it.
Convert an image from one type to another ConvertPixelBuffer
In-place filtering of an image InPlaceImageFilter This only works for filters which derive from itkInPlaceImageFilter
Convert a VTK image to an ITK image VTKImageToImageFilter Seems to expect an input image with only 1 component? (i.e. greyscale)

Big Problems

Example Name ITK Classes Demonstrated Description
Find the best position of the moving image in the fixed image. MeanSquaresImageToImageMetric Output (0,0) is incorrect.
Compute and display the gradient of an image GradientImageFilter Blank output on the screen (the filter works fine). There should be a "DisplayVectorImage" added to itkQuickView that draws vector glyphs at specified pixels of an image.