[Insight-users] Efficiently comparing segmentation results
Luis Ibanez
luis.ibanez at kitware.com
Fri Dec 10 05:59:08 EST 2010
Hi Neal,
If you find the need to write your own filter,
It will be great if you would share it with the
community by posting it to the Insight Journal.
http://www.insight-journal.org
Regards,
Luis
---------------------------
On Thu, Dec 9, 2010 at 12:32 PM, Neal R. Harvey <harve at lanl.gov> wrote:
> Nick pointed me to that yesterday. I took a look, but it still doesn't
> provide the
> efficiency that I was hoping for. I am hoping that the LabelMap stuff will
> be able
> to help, and I am revisiting that, otherwise I guess I will have to write my
> own
> function to do it.
>
> Andriy Fedorov wrote:
>>
>> Neal, you can also take a look at this publication in Insight Journal:
>>
>> "Introducing Dice, Jaccard, and Other Label Overlap Measures To ITK",
>> Tustison N., Gee J.
>> http://www.insight-journal.org/browse/publication/707
>>
>>
>>>
>>> Message: 6
>>> Date: Thu, 9 Dec 2010 11:28:29 -0500
>>> From: Sajendra <sajendra at gmail.com>
>>> Subject: Re: [Insight-users] Efficiently comparing segmentation
>>> results
>>> To: "Neal R. Harvey" <harve at lanl.gov>
>>> Cc: insight-users at itk.org
>>> Message-ID:
>>> <AANLkTikXrc2uYOR1Q+V09UX=DShrp+4zZg==hwwQoDjS at mail.gmail.com>
>>> Content-Type: text/plain; charset=ISO-8859-1
>>>
>>> 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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>>>>
>>>
>>> ------------------------------
>>>
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>>>
>>> End of Insight-users Digest, Vol 80, Issue 15
>>> *********************************************
>>>
>>>
>
>
> --
> 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.
>
> _____________________________________
> Powered by www.kitware.com
>
> Visit other Kitware open-source projects at
> http://www.kitware.com/opensource/opensource.html
>
> Kitware offers ITK Training Courses, for more information visit:
> http://www.kitware.com/products/protraining.html
>
> Please keep messages on-topic and check the ITK FAQ at:
> http://www.itk.org/Wiki/ITK_FAQ
>
> Follow this link to subscribe/unsubscribe:
> http://www.itk.org/mailman/listinfo/insight-users
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