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A platform for image algorithm validation in public challenges.

CMake 15.89% C++ 67.98% C 0.09% Tcl 5.68% Python 10.36%

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andinet avatar cpatrick avatar fogleman avatar jamesfishbaugh avatar mgrauer avatar msmolens avatar prastawa avatar zachmullen avatar

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covalic's Issues

Out of the box superbuild fails

When the option Covalic_USE_ITKV4 is set to OFF (which is the default), the project attempts to superbuild against a tag that cannot be found, causing the clone step to fail. The tag in question:

GIT_REPOSITORY "${GIT_PROTOCOL}://github.com/Slicer/ITK.git"
GIT_TAG "origin/slicer-4.0"

Question: Default percentile of 95% in HausdorffDistanceImageToImageMetric

I wonder if someone could highlight to me the reasoning behind the default percentile of 95% in the Hausdorff distance (HD) ImageToImageMetric.

Intuitively, I would expect the HD to reveal me the largest error e.g. to denote outliers in a image segmnentation task. But with a default percentile value of 95%, the results show something else (I am not quite sure what). Is there any reason behind disregarding the 5% most distant errors?

I personally think a default percentile value of 100% would lead to less surprises and is more consistent with the classical HD definitions (e.g. http://en.wikipedia.org/wiki/Hausdorff_distance).

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