<font><font face="verdana,sans-serif">They are segmented for some of the challenges, like <a href="http://sliver07.org">sliver07.org</a><br></font></font><br><div class="gmail_quote">2012/1/20 Panagiotis Foteinos <span dir="ltr"><<a href="mailto:pafotein@gmail.com">pafotein@gmail.com</a>></span><br>
<blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">Thank you for the link.<br>
<br>
The images are pretty big, however not segmented.<br>
<br>
But in any case, it is useful.<br>
<br>
Regards,<br>
Panagiotis<br>
<br>
2012/1/19 Dženan Zukić <<a href="mailto:dzenanz@gmail.com">dzenanz@gmail.com</a>>:<br>
<div class="HOEnZb"><div class="h5">> Maybe some of the images provided with various challenges are large enough.<br>
><br>
> On Tue, Jan 17, 2012 at 02:55, Panagiotis Foteinos <<a href="mailto:pafotein@gmail.com">pafotein@gmail.com</a>><br>
> wrote:<br>
>><br>
>> Hello ITKers.<br>
>><br>
>> Not sure if this is the appropriate place for my question, but I<br>
>> thought to give it a shot.<br>
>><br>
>> I am looking for very big segmented 3D images in any format<br>
>> (preferably a format the ITK can recognize). The goal is to evaluate<br>
>> the performance of specific filters/ mesh generation techniques on<br>
>> such big images. I could alternatively over-sample existing<br>
>> small/medium size images that I have already. But the resulting<br>
>> (oversampled) images are not as smooth as the original ones. 3D<br>
>> microscopy images tend to be generally big (so they suit my needs),<br>
>> but I have not found any of those that actually can be read by popular<br>
>> viewers, so I suspect that they are corrupted...<br>
>><br>
>><br>
>> I would really appreciate any suggestions!<br>
>><br>
>><br>
>> Regards,<br>
>> Panagiotis Foteinos<br>
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