Hi Ramon,<br>
<br>
Thanks for your reply. I see that the Similarity2DTransform has an
uniform scaling in X and Y. In my application, the x and y scaling
could be different. How can that be handled ?<br>
<br>
Thanks,<br>
John<br><br><br><div class="gmail_quote">2009/9/3 Ramón Casero Cañas <span dir="ltr"><<a href="mailto:ramon.casero@comlab.ox.ac.uk">ramon.casero@comlab.ox.ac.uk</a>></span><br><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">John D wrote:<br>
<blockquote class="gmail_quote" style="border-left: 1px solid rgb(204, 204, 204); margin: 0pt 0pt 0pt 0.8ex; padding-left: 1ex;">
Hi all,<br>
<br>
I am working on an application of registration of 2D images where I want<br>
translation, rotation and scaling (but no shear). The affine transformation<br>
has the added degree of freedom for the shear that I want to avoid. Does ITK<br>
have a transform that uses only translation, rotation and scaling ?<br>
</blockquote>
<br>
<br></div></div>
Hi John,<br>
<br>
Yes, it is known as a similarity transform. See class Similarity2DTransform, documented in sec. 8.8.9 (p. 400) of the ITK User Guide, and in the doxygen documentation<br>
<br>
<a href="http://www.itk.org/Doxygen/html/classitk_1_1Similarity2DTransform.html" target="_blank">http://www.itk.org/Doxygen/html/classitk_1_1Similarity2DTransform.html</a><br>
<br>
<br>
Best regards,<br>
<br>
Ramon.<br>
<br>
-- <br>
Ramón Casero Cañas, DPhil<br>
<br>
Computational Biology, Computing Laboratory<br>
University of Oxford<br>
Wolfson Building, Parks Rd<br>
Oxford OX1 3QD<br>
<br>
tlf +44 (0) 1865 610807<br>
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</blockquote></div><br>