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    On 7/8/2010 2:19 PM, Ivan Macia wrote:
    <blockquote
      cite="mid:AANLkTimqfxQAITCDIFlHeN-nKCCQeTwWE03cj-wvxwLs@mail.gmail.com"
      type="cite">Hi Krishnan,<br>
      <br>
      The code that uses the functor should be attached in one of my
      recent posts.<br>
      <br>
      Best regards<br>
      <br>
      Ivan<br>
      <br>
      <div class="gmail_quote">2010/7/8 Krishnan V <span dir="ltr">&lt;<a
            moz-do-not-send="true" href="mailto:v.srikrishnan@gmail.com"
            target="_blank">v.srikrishnan@gmail.com</a>&gt;</span><br>
        <blockquote class="gmail_quote" style="margin: 0pt 0pt 0pt
          0.8ex; border-left: 1px solid rgb(204, 204, 204);
          padding-left: 1ex;">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>
          <font color="#888888">krishnan</font>
          <div>
            <div><br>
              <br>
              <div class="gmail_quote">On Wed, Jul 7, 2010 at 9:13 PM,
                Karthik Krishnan <span dir="ltr">&lt;<a
                    moz-do-not-send="true"
                    href="mailto:karthik.krishnan@kitware.com"
                    target="_blank">karthik.krishnan@kitware.com</a>&gt;</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&nbsp; 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>
                  <div class="gmail_quote">
                    <div>
                      <div>
                        On Wed, Jul 7, 2010 at 5:49 PM, Krishnan V <span
                          dir="ltr">&lt;<a moz-do-not-send="true"
                            href="mailto:v.srikrishnan@gmail.com"
                            target="_blank">v.srikrishnan@gmail.com</a>&gt;</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>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>
                          </font><br>
                        </div>
                      </div>
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      <br>
    </blockquote>
    Hi,<br>
    Thanks for the information. I will look it up.<br>
    krishnan<br>
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