[Insight-users] Efficiently comparing segmentation results

[Sajendra]

You could perhaps use Kappa Statistic Metric:
http://www.itk.org/Doxygen/html/classitk_1_1KappaStatisticImageToImageMetric.html#_details

It allows you to set the foreground value for the label you are
interested in so you could either run it multiple times, or probably
modify the filter to do exactly what it is you needed.

On Wed, Dec 8, 2010 at 2:22 PM, Neal R. Harvey <harve at lanl.gov> wrote:
> I am trying to write some code with which I can efficiently compare
> segmentation results with
> a known ground truth. There are several papers that describe interesting
> metrics for doing this.
> A common theme is finding intersection between segments.
> There seems to be most of the functionality within ITK for doing this, but I
> haven't been able to
> figure out how to do it effectively/efficiently.
> I want to be able to go through each region in a segmented image (i.e. the
> pixels that have the same
> value "i" in that image) and calculate the number of pixels within that
> region that intersect with
> each region in a ground truth image (i.e. the pixels that have the same
> value "j" in that image).
> I don't want to have to go through every pixel in the image and test to see
> if it is value "i"
> or "j", but want to have some way of limiting my processing to only those
> pixels that have the
> required values.
> I am sure that this should be possible within ITK, I just haven't been able
> to figure it out.
> If anyone has any suggestions, it would be very much appreciated.
>
> Cheers
>
> Harve
>
> --
> HARVE (Neal R. Harvey)           Email: harve at lanl.gov
> ISR-2                            Phone: 505 667 9077
> Los Alamos National Laboratory   Fax: 505 664 0362
> Los Alamos, NM 87545, USA        Mail Stop: D-436
> The generation of random numbers is too important to be left to chance.
>
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