Hi Karthik,<br>Thanks for the reply. I do not know enough C++ to write functors so will probably iterate over the image stack; should be quite slow though.<br>krishnan<br><br><div class="gmail_quote">On Wed, Jul 7, 2010 at 9:13 PM, Karthik Krishnan <span dir="ltr"><<a href="mailto:karthik.krishnan@kitware.com">karthik.krishnan@kitware.com</a>></span> wrote:<br>
<blockquote class="gmail_quote" style="margin: 0pt 0pt 0pt 0.8ex; border-left: 1px solid rgb(204, 204, 204); padding-left: 1ex;">Take a look at the class itk::SymmetricEigenAnalysis. The method "ComputeEigenValuesAndVectors" computes the eigen vectors as well as the eigen values for your ND matrix pixels (the hessians)<br>
<br>You could write a functor just like itk::SymmetricEigenAnalysisImageFilter does to run this over all the pixels and generate the eigen vector images.<br></blockquote><blockquote class="gmail_quote" style="margin: 0pt 0pt 0pt 0.8ex; border-left: 1px solid rgb(204, 204, 204); padding-left: 1ex;">
--<br>karthik<br><br><br><blockquote class="gmail_quote" style="border-left: 1px solid rgb(204, 204, 204); margin: 0pt 0pt 0pt 0.8ex; padding-left: 1ex;"></blockquote><div class="gmail_quote"><div><div></div><div class="h5">
On Wed, Jul 7, 2010 at 5:49 PM, Krishnan V <span dir="ltr"><<a href="mailto:v.srikrishnan@gmail.com" target="_blank">v.srikrishnan@gmail.com</a>></span> wrote:<br>
</div></div><blockquote class="gmail_quote" style="border-left: 1px solid rgb(204, 204, 204); margin: 0pt 0pt 0pt 0.8ex; padding-left: 1ex;"><div><div></div><div class="h5">Hi,<br>I am using SymmetricEigenAnalysisImageFilter to compute the eigen values and vectors of the Hessian. I saw the sample code for Curve3DExtraction as well as previous posts which talk about eigen value extraction but none on extracting the eigenvectors. I looked at the documentation but cannot find anything which will get the vectors. Maybe I am missing something elementary but it will be great if someone can help.<br>
Thanks<br><font color="#888888">Krishnan<br>
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