<div dir="ltr">Thanks everyone for your suggestive solutions. I'll probably start with option Bill suggested, however, Brad, where's the <strong class="">itkBoundingBoxImageLabelMapFilter </strong><span class="">? I couldn't find it on the reposit</span><span class="">ory<strong> </strong>you linked to.</span><strong class=""><br>
</strong></div><div class="gmail_extra"><br><br><div class="gmail_quote">2013/9/14 Bradley Lowekamp <span dir="ltr"><<a href="mailto:blowekamp@mail.nih.gov" target="_blank">blowekamp@mail.nih.gov</a>></span><br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">
<div style="word-wrap:break-word">Hello,<div><br></div><div>I have an ITK extension which does what Richard suggests:</div><div><br></div><div><a href="https://github.com/blowekamp/itkOBBLabelMap" target="_blank">https://github.com/blowekamp/itkOBBLabelMap</a></div>
<div><br></div><div>I believe this test does what you want:</div><div><br></div><div><a href="https://github.com/blowekamp/itkOBBLabelMap/blob/master/test/itkBoundingBoxImageLabelMapFilterTest.cxx" target="_blank">https://github.com/blowekamp/itkOBBLabelMap/blob/master/test/itkBoundingBoxImageLabelMapFilterTest.cxx</a></div>
<div><br></div><div>Also in the module is the computation of Oriented Bounding Boxes based on the orientation of the second movements. And similarly there is a way to extract the resampled images. However, there is an issue with the lack of thread safely with the interpolator, so a line needs to currently be commented out of OBB image.</div>
<div><br></div><div>I'd recommend writing a test to validate the results are as expected before using it.</div><div><br></div><div>Let me know if it works for you.</div><div><br></div><div>Brad</div><div><div class="h5">
<div><br><div><div>On Sep 14, 2013, at 1:32 AM, Richard Beare <<a href="mailto:richard.beare@gmail.com" target="_blank">richard.beare@gmail.com</a>> wrote:</div><br><blockquote type="cite"><div dir="ltr">The label map tools make it easy to construct this kind of facility, with bounding box computation and other useful options. There is also AutoCropLabelMapFilter which may be a useful starting point.</div>
<div class="gmail_extra">
<br><br><div class="gmail_quote">On Sat, Sep 14, 2013 at 6:41 AM, Bill Lorensen <span dir="ltr"><<a href="mailto:bill.lorensen@gmail.com" target="_blank">bill.lorensen@gmail.com</a>></span> wrote:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">
As far as I know, there is not an ITK filter that will extract N<br>
images from a label image. You could use itkThresholdImageFilter to<br>
extract each label.<br>
<div><div><br>
On Fri, Sep 13, 2013 at 4:33 PM, Pol Monsó <<a href="mailto:pol.monso%2Btools@gmail.com" target="_blank">pol.monso+tools@gmail.com</a>> wrote:<br>
> Hi,<br>
><br>
> I've searching how to extract each connected component of a binary image<br>
> such as<br>
> <a href="http://blogs.mathworks.com/images/steve/2008/binary_indexed_vis_01.png" target="_blank">http://blogs.mathworks.com/images/steve/2008/binary_indexed_vis_01.png</a><br>
> into a separate image through the ConnectedComponentFilter (or maybe the<br>
> labelmap?)<br>
><br>
> I've seen how to extract the largest one on the examples, but I couldn't see<br>
> how to iterate over the image to extract each one of them into a separate<br>
> image. I could iterate over the image checking pixelvalues, but that does<br>
> not seem efficient and I suspect there's another way to do this.<br>
><br>
> It looks that the ChangeLabelImageFilter should be able to do it but I<br>
> couldn't figure out how. A short example would be perfect, or a pointer to<br>
> how to iterate over the connected components.<br>
><br>
> Cheers,<br>
><br>
> Pol<br>
><br>
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