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| | = Board Members = |
| | |
| * Harvey Cline, Kitware Inc. | | * Harvey Cline, Kitware Inc. |
| * Raghu Machiraju, The State University of Ohio | | * Raghu Machiraju, The Ohio State University |
| * John Galeotti, CMU | | * John Galeotti, CMU |
| * Hans Johnson, University of Iowa | | * Hans Johnson, University of Iowa |
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| * New students in the UNC CISMM project (taylorr@cs.unc.edu) | | * New students in the UNC CISMM project (taylorr@cs.unc.edu) |
| * Jesus Caban, NLM-NIH | | * Jesus Caban, NLM-NIH |
| | * Manuel Grizzonet, Orfeo Toolbox, CNES - France |
| | * Julien Michel, Orfeo Toolbox, CNES - France |
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| = ARB Prototype Code = | | = Prototype Code for Discussions = |
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| == Gaussian Blur ==
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| * Open an image
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| * Filter the image with a Gaussian blur using sigma = 2
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| * Write the image back out
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| ==== Procedural ====
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| <pre style="display: inline-block;">
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| // Read the image
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| Image::Pointer im = ImageFileReader::Execute("sample/path/to/image.jpg");
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| // Apply Gaussian with sigma = 2
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| im = GaussianFilter::Execute(im, 2);
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| // Write out the image
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| ImageFileWriter::Execute(im, "sample/path/to/output.png");
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| </pre>
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| ==== Filter Blocks ====
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| <pre style="display: inline-block;">
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| // Read the image
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| ImageFileReader reader;
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| reader.SetFilename( "sample/path/to/image.jpg" );
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| Image::Pointer im = reader.execute();
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| // Apply Gaussian with sigma = 2
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| Gaussian filter;
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| filter.SetSigma( 2 );
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| im = filter.execute( im );
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| // Write out the image
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| ImageFileWriter writer;
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| writer.SetFilename( "sample/path/to/output.png" );
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| writer.execute( im );
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| </pre>
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| ==== Pipelined ====
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| <pre style="display: inline-block;">
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| // Read the image
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| ImageFileReader reader;
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| reader.SetFilename( "sample/path/to/image.jpg" );
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| // Apply Gaussian with sigma = 2
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| Gaussian filter;
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| filter.SetSigma( 2 );
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| filter.SetInput( reader.getOutput() );
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| // Write out the image
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| ImageFileWriter writer;
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| writer.SetFilename( "sample/path/to/output.png" );
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| writer.SetInput( filter->GetOutput() );
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| // Execute the pipieline
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| writer.Update();
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| </pre>
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| | |
| == Image Registration ==
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| * Open two images (one fixed, one moving)
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| * Register the moving image to the fixed image using affine registration
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| * Resample the moving image using the computed transform
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| * Write the resampled image out
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| | |
| ==== Procedural ====
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| <pre style="display: inline-block;">
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| // Open the fixed and moving images
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| Image::Pointer fixedImage = ImageFileReader::Execute( "path/to/fixed.jpg" );
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| Image::Pointer movingImage = ImageFileReader::Execute( "path/to/moving.jpg" );
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| // Register the moving image to the fixed image
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| AffineTransform::Pointer transform AffineRegistrator::Execute( fixedImage, movingImage );
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| // Resample the moving image
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| movingImage = ImageResampler::Execute( movingImage, transform );
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| // Write out the resampled image
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| ImageFileWriter::Ececute( movingImage, "path/to/output.png" );
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| </pre>
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| | |
| ==== Filter blocks ====
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| <pre style="display: inline-block;">
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| // Open the fixed and moving images
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| ImageFileReader reader;
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| reader.SetFilename( "path/to/fixed.jpg" );
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| Image::Pointer fixedImage = reader.execute();
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| reader.SetFilename( "path/to/moving.jpg" );
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| Image::Pointer movingImage = reader.execute();
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| // Register the moving image to the fixed image
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| AffineRegistrator registrator;
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| registrator.SetFixedImage( fixedImage );
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| registrator.SetMovingImage( movingImage );
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| AffineTransform transform;
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| transform = registrator.execute();
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| // Resample the moving image
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| Resampler resampler;
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| resampler.SetTransform( transform );
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| movingImage = resampler.execute( movingImage );
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| // Write out the resampled image
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| ImageFileWriter writer;
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| writer.SetFilename( "path/to/output.png" );
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| writer.ececute( movingImage );
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| </pre>
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| | |
| ==== Pipeline ====
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| <pre style="display: inline-block;">
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| // Open the fixed and moving images
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| ImageFileReader reader1;
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| ImageFileReader reader2;
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| reader1.SetFilename( "path/to/fixed.jpg" );
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| reader2.SetFilename( "path/to/moving.jpg" );
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| // Register the moving image to the fixed image
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| AffineRegistrator registrator;
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| registrator.SetFixedImage( reader1.GetOutput() );
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| registrator.SetMovingImage( reader2.GetOutput() );
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| // Resample the moving image
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| Resampler resampler;
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| resampler.SetInput( reader2.GetOutput() );
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| resampler.SetTransform( registrator.GetOutput() );
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| // Write out the resampled image
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| ImageFileWriter writer;
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| writer.SetFilename( "path/to/output.png" );
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| writer.SetInput( movingImage );
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| // Execute the pipeline
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| writer.Update();
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| </pre>
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| | |
| ==== Enum approach ====
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| <pre>
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| // NOTE: Language = C#
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| // Create metric
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| itk::simple::simpleMetric metric;
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| metric.setType( itk::simple::MattesMutualInformation );
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| metric.setParameterInt( "NumberOfHistogramBins", 30 );
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| metric.setParameterInt( "NumberOfSpatialSamples", 1000 );
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| // Create interpolator
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| itk::simple::simpleInterpolator interpolator;
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| interpolator.setType( itk::simple::LanczosWindowedSincInterpolation );
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| // Create transform
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| itk::simple::simpleTransform transform;
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| transform.setType( itk::simple::AffineTransform );
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| // Create optimizer
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| itk::simple::simpleOptimizer optimizer;
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| optimizer.setType( itk::simple::RegularStepGradientDescentOptimizer );
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| optimizer.setParameterInt( "NumberOfIterations", 100 );
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| optimizer.setParameterDouble( "MinimumStepLength", 0.005 );
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| optimizer.setParameterDouble( "MaximumStepLength", 1.0 );
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| optimizer.setParameterBoolean( "Maximize", true );
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| // Registration
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| itk::simple::simpleRegistration registration;
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| registration.setMetric( metric );
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| registration.setInterpolator( interpolator );
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| registration.setTransform( transform );
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| registration.setOptimizer( optimizer );
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| </pre>
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| == Level Set ==
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| == Region Growing ==
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| == Watershed ==
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| == QuadEdgeMesh ==
| | * [[ITK_Release_4/SimpleITK/Advisory Review Board/Prototype Code Discussions|Prototype Code Discussions]] |
