SimpleITK/Advisory Review Board: Difference between revisions
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* '''Option 1 - Fully procedural''' | * '''Option 1 - Fully procedural''' | ||
<pre> | <pre> | ||
// Read the image | |||
itk::simple::ImageFileReader reader; | itk::simple::ImageFileReader reader; | ||
itk::simple::Image::Pointer im = reader.execute("sample/path/to/image.jpg"); | itk::simple::Image::Pointer im = reader.execute("sample/path/to/image.jpg"); | ||
// Apply Gaussian with sigma = 2 | |||
itk::simple::Gaussian filter; | itk::simple::Gaussian filter; | ||
im = filter.execute(im, 2); | im = filter.execute(im, 2); | ||
// Write out the image | |||
itk::simple::ImageFileWriter writer; | itk::simple::ImageFileWriter writer; | ||
writer.execute(im, "sample/path/to/output.png"); | writer.execute(im, "sample/path/to/output.png"); |
Revision as of 19:24, 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
- Option 3 - Pipelined