Comments (2)
Yes it would be nice to have SIFT and SURF feature detectors in ITK and SimpleITK, they are indeed useful for registration/segmentation.
We currently do not have them in ITK and consequentially we don't have them in SimpleITK. It is unlikely that we will add them to ITK as it will potentially raise patent infringement issues (both algorithms are patented).
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Ohk . Thanks @zivy . In case if you know any other way to find features in 3D images , please let me know.
There are some other open source methods like www.willowgarage.com/sites/default/files/orb_final.pdf , which is an alternative to SURF and SIFT. We can look into this also.
Thanks.
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Related Issues (20)
- Fixing BinaryDilate cells in 300_Segmentation_Overview notebook
- Keeping notebooks clean for version control HOT 1
- Finding a place for rendered notebooks HOT 5
- Browser Icon for SITK
- Writing a notebook contribution guide HOT 1
- Sphinx + ReadTheDocs structure
- Please check order of input images to sitk.LabelOverlapMeasuresImageFilter.Execute HOT 1
- Inconsistency in distance measures in segmentation evaluation notebook HOT 5
- Warning in `00_Setup.ipynb` HOT 3
- image registration problem HOT 9
- Replace old virtualenv with modern python3 venv in documentation
- characterize_data.py fails save if output directory does not exist HOT 3
- Add renv file and instructions
- install all Python dependencies in read-the-docs build environment
- Exception thrown in SimpleITK - ERROR: No ImageJ/Fiji application found.
- How to use masks for filters HOT 2
- Using demons_filter = sitk.DiffeomorphicDemonsRegistrationFilter() filter error HOT 2
- Image origin changes in a saved image HOT 4
- Correct Documentation for order of transforms from the Image Registration Method.
- Set up issues.
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