SimpleITK/Advisory Review Board: Difference between revisions
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</pre> | </pre> | ||
* '''Option 2 - Procedural with parameter setting''' | * '''Option 2 - Procedural with parameter setting''' | ||
<pre> | |||
// Read the image | |||
itk::simple::ImageFileReader reader; | |||
reader.SetFilename("sample/path/to/image.jpg"); | |||
itk::simple::Image::Pointer im = reader.execute(); | |||
// Apply Gaussian with sigma = 2 | |||
itk::simple::Gaussian filter; | |||
filter.SetSigma(2); | |||
im = filter.execute(im); | |||
// Write out the image | |||
itk::simple::ImageFileWriter writer; | |||
writer.SetFilename("sample/path/to/output.png"); | |||
writer.execute(im); | |||
</pre> | |||
* '''Option 3 - Pipelined''' | * '''Option 3 - Pipelined''' | ||
Revision as of 19:27, 2 September 2010
- Harvey Cline, Kitware Inc.
- Raghu Machiraju, The State University of Ohio
- John Galeotti, CMU
- Hans Johnson, University of Iowa
- Fabrice de Chaumont, Pasteur Institute
- New students in the UNC CISMM project (taylorr@cs.unc.edu)
- Jesus Caban, NLM-NIH
ARB Prototype Code
Gaussian Filter
- Pseudocode
- Open Image
- Blur with Gaussian using sigma = 2
- Write out the image
- Option 1 - Fully procedural
// Read the image itk::simple::ImageFileReader reader; itk::simple::Image::Pointer im = reader.execute("sample/path/to/image.jpg"); // Apply Gaussian with sigma = 2 itk::simple::Gaussian filter; im = filter.execute(im, 2); // Write out the image itk::simple::ImageFileWriter writer; writer.execute(im, "sample/path/to/output.png");
- Option 2 - Procedural with parameter setting
// Read the image itk::simple::ImageFileReader reader; reader.SetFilename("sample/path/to/image.jpg"); itk::simple::Image::Pointer im = reader.execute(); // Apply Gaussian with sigma = 2 itk::simple::Gaussian filter; filter.SetSigma(2); im = filter.execute(im); // Write out the image itk::simple::ImageFileWriter writer; writer.SetFilename("sample/path/to/output.png"); writer.execute(im);
- Option 3 - Pipelined