ITK/Examples: Difference between revisions
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Please add examples in your areas of expertise! | Please add examples in your areas of expertise! | ||
=Simple Operations= | |||
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=Input/Output (IO)= | |||
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=Image Basics= | |||
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=Image Basics= | |||
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=Iterating Over (Traversing) An Image= | |||
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=Image Edges, Gradients, and Derivatives= | |||
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=Smoothing= | |||
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=Morphology= | |||
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=Spectral Analysis= | |||
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| [[ITK/Examples/Images/VnlFFTRealToComplexConjugateImageFilter | Compute the FFT of an image]] || {{ITKDoxygenURL|VnlFFTRealToComplexConjugateImageFilter}} || | |||
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=Statistics= | |||
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| [[ITK/Examples/Statistics/ListSample | Create a list of sample measurements]] || {{ITKDoxygenURL|ListSample}} || | |||
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| [[ITK/Examples/Statistics/ImageToListSampleAdaptor | Create a list of samples from an image without duplicating the data]] || {{ITKDoxygenURL|ImageToListSampleAdaptor}} || | |||
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| [[ITK/Examples/Statistics/MembershipSample | Create a list of samples with associated class IDs]] || {{ITKDoxygenURL|MembershipSample}} || | |||
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| [[ITK/Examples/Statistics/ExpectationMaximizationMixtureModelEstimator_2D | 2D Gaussian Mixture Model Expectation Maximization]] || {{ITKDoxygenURL|ExpectationMaximizationMixtureModelEstimator}} || EM | |||
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| [[ITK/Examples/Statistics/KdTreeBasedKMeansClustering_1D | 1D KMeans Clustering]] || {{ITKDoxygenURL|KdTreeBasedKMeansClustering}} || | |||
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| [[ITK/Examples/Statistics/KdTreeBasedKMeansClustering_2D | 2D KMeans Clustering]] || {{ITKDoxygenURL|KdTreeBasedKMeansClustering}} || | |||
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| [[ITK/Examples/Statistics/ScalarImageKmeansImageFilter | Cluster the pixels in a greyscale image]] || {{ITKDoxygenURL|ScalarImageKmeansImageFilter}} || | |||
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== | ==Developer Examples== | ||
{{ITKExamplesTable}} | {{ITKExamplesTable}} | ||
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| [[ITK/Examples/ | | [[ITK/Examples/Developer/ImageSource | Produce an image with a filter]] || {{ITKDoxygenURL|ImageSource}} || | ||
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=Wish List= | |||
{{ITKExamplesTable}} | |||
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=Problems= | |||
==Small Problems== | ==Small Problems== | ||
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| [[ITK/Examples/Broken/Images/GradientImageFilter | Compute and display the gradient of an image]] || {{ITKDoxygenURL|GradientImageFilter}} || Blank output. | | [[ITK/Examples/Broken/Images/GradientImageFilter | Compute and display the gradient of an image]] || {{ITKDoxygenURL|GradientImageFilter}} || Blank output. | ||
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Revision as of 01:43, 18 November 2010
These are fully independent, compilable examples. There is significant overlap in the examples, but they are each intended to illustrate a different concept and be fully stand alone compilable. Please add examples in your areas of expertise!
Simple Operations
| Example Name | ITK Classes Demonstrated | Description |
|---|---|---|
| Distance between two points | Point | |
| Create a vector | Vector | |
| Create a covariant vector | CovariantVector | |
| Variable length vector | VariableLengthVector | main() works properly, but neither conversion seems to work. |
| Get the name/type/class of an object | GetNameOfClass() | |
| An object which holds the index of a pixel | Index | |
| An object which holds the size of an image | Size | |
| An object which holds the index (start) and size of a region of an image | ImageRegion |
Input/Output (IO)
| Example Name | ITK Classes Demonstrated | Description |
|---|---|---|
| Write an image | ImageFileWriter | |
| Read an image | ImageFileReader | |
| Write a TIFF image | TIFFImageIO | This is a general demonstration of how to use a specific writer rather than relying on the ImageFileWriter to choose for you. |
Image Basics
| Example Name | ITK Classes Demonstrated | Description |
|---|---|---|
| Assign contiguous labels to connected regions of an image | RelabelComponentImageFilter |
Image Basics
Iterating Over (Traversing) An Image
Image Edges, Gradients, and Derivatives
Smoothing
| Example Name | ITK Classes Demonstrated | Description |
|---|---|---|
| Mean filter an image | MeanImageFilter | Replace each pixel by the mean of its neighborhood |
| Median filter an image | MedianImageFilter | Replace each pixel by the median of its neighborhood |
| Smooth an image with a discrete Gaussian filter | DiscreteGaussianImageFilter | |
| Blur an image | BinomialBlurImageFilter | |
| Bilateral filter an image | BilateralImageFilter | Edge preserving smoothing. |
Morphology
Spectral Analysis
| Example Name | ITK Classes Demonstrated | Description |
|---|---|---|
| Compute the FFT of an image | VnlFFTRealToComplexConjugateImageFilter |
Statistics
Developer Examples
| Example Name | ITK Classes Demonstrated | Description |
|---|---|---|
| Produce an image with a filter | ImageSource |
Wish List
| Example Name | ITK Classes Demonstrated | Description |
|---|
Problems
Small Problems
Big Problems
| Example Name | ITK Classes Demonstrated | Description |
|---|---|---|
| Join images, stacking their components | JoinImageFilter | How to convert the vector image produced by the joinFilter to a standard image? |
| Find the best position of the moving image in the fixed image. | MeanSquaresImageToImageMetric | Output (0,0) is incorrect. |
| Translate an image | TranslationTransform, ResampleImageFilter | This example currently freezes. |
| Compute and display the gradient of an image | GradientImageFilter | Blank output. |
