https://www.slicer.org/w/index.php?action=history&feed=atom&title=Documentation%2F4.8%2FExtensions%2FcirclesDetectionHoughTransformDocumentation/4.8/Extensions/circlesDetectionHoughTransform - Revision history2026-04-22T14:32:01ZRevision history for this page on the wikiMediaWiki 1.33.0https://www.slicer.org/w/index.php?title=Documentation/4.8/Extensions/circlesDetectionHoughTransform&diff=55515&oldid=prevUpdateBot: Nightly -> 4.82017-10-18T07:05:14Z<p>Nightly -> 4.8</p>
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{{documentation/{{documentation/version}}/module-section|Introduction and Acknowledgements}}<br />
Authors: Guillaume Pernelle<br><br />
Contributors: Guillaume Pernelle<br />
Contact: Guillaume Pernelle, <email>gpernelle@gmail.com</email><br><br />
Website: https://github.com/gpernelle/houghTransform<br><br />
License: [http://www.slicer.org/pages/LicenseText Slicer license]<br />
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{{documentation/{{documentation/version}}/extension-section|Extension Description}}<br />
This modules performs a circles detection by implementing the itk class developed by The GoFigure Dev. Team. at Megason Lab, Systems biology, Harvard Medical school, 2009<br />
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[http://slicer.kitware.com/midas3/folder/876 Phantom Study]<br />
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Image:circlesDetectionHoughTransform-result.png<br />
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No tutorial<br />
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{{documentation/{{documentation/version}}/extension-section|References}}<br />
* Mosaliganti K., Gelas A., Cowgill P., Megason S. An Optimized N-Dimensional Hough Filter for Detecting Spherical Image Objects. 2009 Sep. [http://hdl.handle.net/10380/3129]<br />
* Pernelle, Egger, Vale, Chen, Irlinger, Lueth, Wells, Kikinis, Viswanathan and Kapur. Robust Applicator Registration for Interstitial Gynecologic Brachytherapy. ABS 2013 Annual Meeting (submitted)<br />
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This is a CLI module. The output is written into a file situated in the same place as where the module is executed. <br />
This file can be read back into slicer, see an example of a python script here: <br />
[https://github.com/gpernelle/iGynePy/blob/master/iGyneWizard/iGyneFirstRegistrationStep.py#L209 python script using json]<br />
A radius information is also available, please uncomment this part of the code to access it: [https://github.com/gpernelle/houghTransform/blob/master/houghTransformCLI.cxx#L152 Radius output]<br />
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