You could alternatively use also HausdorffDistanceImageFilter (<meta http-equiv="content-type" content="text/html; charset=utf-8"><a href="http://www.itk.org/Doxygen320/html/classitk_1_1HausdorffDistanceImageFilter.html">http://www.itk.org/Doxygen320/html/classitk_1_1HausdorffDistanceImageFilter.html</a> )<div>
This filter computes the distance between 2 binary volumes (just as if you had 2 meshes and you'd like to compute their distance), <br><div>BUT be aware that the result would be in terms of voxels and not of mm. The Hausdorff distance is the max of the bi-directional distance between the volumes, but the filter returns also the average distance. It can be very useful to give you an idea of the local shape differences. </div>
<div>my 2 cents :)<br>marta<br><br><div class="gmail_quote">On 18 May 2011 12:34, robert tamburo <span dir="ltr"><<a href="mailto:robert.tamburo@gmail.com">robert.tamburo@gmail.com</a>></span> wrote:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex;">
<div>"Introducing Dice, Jaccard, and Other Label Overlap Measures To ITK" by Tustison and Gee in the Insight Journal (<a href="http://www.insight-journal.org/browse/publication/707" target="_blank">http://www.insight-journal.org/browse/publication/707</a>) provide several overlap and error measures.</div>
<div><a href="http://www.insight-journal.org/browse/publication/707" target="_blank"></a><br><br><div class="gmail_quote">2011/5/17 LaMoOsH .. <span dir="ltr"><<a href="mailto:xlolla28x@hotmail.com" target="_blank">xlolla28x@hotmail.com</a>></span><br>
<blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><div><div></div><div class="h5">
<div>
Hello everyone, <br>
<br>
I have two segmented images.. <br>
is there any nice method in ITK that can calculate the error rate for the difference of the segmenattion volume between two images?<br>
i have a manual segmentation and another segmentation method, need to find error rate. <br>
<br>
<br>
Thank you. <br>
<br>
Regards<br> </div>
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