ITK/Examples: Difference between revisions
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| [[ITK/Examples/Segmentation/MeanShiftClustering | Mean shift clustering]] | | | | [[ITK/Examples/Segmentation/MeanShiftClustering | Mean shift clustering]] || || | ||
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| [[ITK/Examples/Segmentation/kMeansClustering | KMeans Clustering]] | | | | [[ITK/Examples/Segmentation/kMeansClustering | KMeans Clustering]] || || | ||
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Revision as of 13:06, 1 December 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 | |
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 | |
Make part of an image transparent | RGBAPixel | Transparency, RGBA, alpha |
Determine if one region is fully inside another region | ImageRegion | |
Duplicate an image | ImageDuplicator | |
Produce an image of noise | RandomImageSource | |
Create a vector image | VectorImage | An image with an ND vector at each pixel |
Set specified pixels to specified values | Image |
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. |
Display an ITK image | ImageToVTKImageFilter |
Image Processing
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 |
Utilities
Example Name | ITK Classes Demonstrated | Description |
---|---|---|
Monitor a filter | SimpleFilterWatcher | See debug style information. |
Statistics
Developer Examples
Example Name | ITK Classes Demonstrated | Description |
---|---|---|
Produce an image with a filter | ImageSource |
Image Segmentation
Example Name | ITK Classes Demonstrated | Description |
---|---|---|
Mean shift clustering | ||
KMeans Clustering |
Meshes
Example Name | ITK Classes Demonstrated | Description |
---|
Wish List
Example Name | ITK Classes Demonstrated | Description |
---|---|---|
Level Sets | | | ||
Region Growing | | |
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. |