<html><head><meta http-equiv="Content-Type" content="text/html charset=iso-8859-1"></head><body style="word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-line-break: after-white-space;">Hello Elena,<div><br></div><div>After looking at your images, I realized you may be interested in Oriented Bounding Box computation.</div><div><br></div><div>I have an external ITK module[1] which computes OBBs in the LabelMap infrastructure. One way it presents the OBB is as an origin and Direction[2]. This information is then passed to the Resample filter to extract the OBB[3].</div><div><br></div><div>You may be able to re-use the code in this module or find another way to compute your origin and direction based on information specific for you application.</div><div><br></div><div>Hope this helps,</div><div>Brad</div><div><br></div><div><br></div><div>[1] <a href="https://github.com/blowekamp/itkOBBLabelMap">https://github.com/blowekamp/itkOBBLabelMap</a></div><div>[2] <a href="https://github.com/blowekamp/itkOBBLabelMap/blob/master/include/itkOrientedBoundingBoxLabelObject.h#L91-L111">https://github.com/blowekamp/itkOBBLabelMap/blob/master/include/itkOrientedBoundingBoxLabelObject.h#L91-L111</a></div><div>[3] <a href="https://github.com/blowekamp/itkOBBLabelMap/blob/master/test/itkOrientedBoundingBoxLabelMapFilterTest2.cxx#L94-L113">https://github.com/blowekamp/itkOBBLabelMap/blob/master/test/itkOrientedBoundingBoxLabelMapFilterTest2.cxx#L94-L113</a></div><div><br><div><div>On Jul 3, 2014, at 12:52 PM, Nicolas Gallego <<a href="mailto:nicgallego@gmail.com">nicgallego@gmail.com</a>> wrote:</div><br class="Apple-interchange-newline"><blockquote type="cite"><meta http-equiv="Content-Type" content="text/html; charset=utf-8"><div dir="ltr"><div><div><div>Hi Elena,<br><br></div>If I understand well your task, you have the rotation angle and translation parameters and you would like to transform your image parallel to the cartesian coordinate system and crop/resample it?<br>
<br></div>Conceptually then you could proceed as follows:<br><br></div>1. Create a rigid transformation with given angle and translation in 2D [1] or 3D [2]<br><div><br>2. Apply the transformation to your image via an interpolator and a resampler, like illustrated in the Software Guide Section 8.2 [3]<br>
<br>3. The resampler interface lets you specifiy all the image information for the output:<br>region( start, size)<br>spacing<br>origin<br>direction<br><br>Connect everything and update and that should do the job, <br></div>
<div><br>Pay attention to the center of rotation, the example you cite uses the center of the image as center of rotation, that should be fine.<br><br></div><div>I would proceed like that, I am not aware of a filter to do this automatically. <br>
<br></div><div>If you don't know a priori the rigid transformation parameters to apply, then a registration algorithm can be used to estimate them.<br></div><div><br>[1] <a href="http://www.itk.org/Doxygen45/html/classitk_1_1Rigid2DTransform.html">http://www.itk.org/Doxygen45/html/classitk_1_1Rigid2DTransform.html</a><br>
[2] <a href="http://www.itk.org/Doxygen45/html/classitk_1_1Rigid3DTransform.html">http://www.itk.org/Doxygen45/html/classitk_1_1Rigid3DTransform.html</a><br>[3] <a href="http://www.itk.org/ItkSoftwareGuide.pdf">http://www.itk.org/ItkSoftwareGuide.pdf</a><br>
<br></div><div>hope that helps<br></div></div><div class="gmail_extra"><br clear="all"><div><div dir="ltr">Nicolás Gallego-Ortiz<br>Université catholique de Louvain, Belgium<br></div></div>
<br><br><div class="gmail_quote">2014-07-03 16:16 GMT+02:00 elena bresciani <span dir="ltr"><<a href="mailto:elena.bresciani87@gmail.com" target="_blank">elena.bresciani87@gmail.com</a>></span>:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">
<div dir="ltr"><div><div><div><div><div>Hello guys,<br><br></div>I need help on image rotation. I have two questions:<br><br></div>1 - how can I modify the code in ResampleImageFilter4.cxx to make the size of the output image following the rotation? More specifically: if image size is Size X >> Size Y and I want a 90° rotation the result (using the code in the example without modifications) is cropped because the new image has now Size Y >> Size X but in the example this is not taken into account. I know I could use Permute Axis but I would like to write something that works both for 90 and 180 degrees rotations. <br>
<br></div>2 - I would like to do something like in the scheme attached. Actually, as shown I've reached my goal only partially using AutoCropLabelMapFilter. There is a simple way of doing what I want or I have to compute the angle of inclination of my region of interest and rotate and crop accordingly? Images are not binary!<br>
<br></div>Thanks in advance!<span class="HOEnZb"><font color="#888888"><br><br></font></span></div><span class="HOEnZb"><font color="#888888">Elena<br></font></span></div>
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_____________________________________<br>Powered by <a href="http://www.kitware.com">www.kitware.com</a><br><br>Visit other Kitware open-source projects at<br><a href="http://www.kitware.com/opensource/opensource.html">http://www.kitware.com/opensource/opensource.html</a><br><br>Kitware offers ITK Training Courses, for more information visit:<br>http://www.kitware.com/products/protraining.php<br><br>Please keep messages on-topic and check the ITK FAQ at:<br>http://www.itk.org/Wiki/ITK_FAQ<br><br>Follow this link to subscribe/unsubscribe:<br>http://public.kitware.com/mailman/listinfo/insight-users<br></blockquote></div><br></div></body></html>