<html><body><div style="color:#000; background-color:#fff; font-family:tahoma, new york, times, serif;font-size:8pt"><div><span><div><span>Hi Pietro,</span></div><div><br></div><div><span>Anisotropic filter is one the good <span class="yshortcuts cs4-visible" id="lw_1337092091_0" style="cursor: pointer; color: rgb(54, 99, 136); border-bottom-width: 2px; border-bottom-style: dotted; border-bottom-color: rgb(54, 99, 136); ">filter</span> for image, but if you used the traditional anisotropic difussion, it may obviously distorted the edge. </span></div><div><span>You can try another <span class="yshortcuts cs4-visible" id="lw_1337092091_1" style="cursor: pointer; color: rgb(54, 99, 136); border-bottom-width: 2px; border-bottom-style: dotted; border-bottom-color: rgb(54, 99, 136); ">anisotropic diffusion</span> such as Nordstorm (added with the bias) which may correcting the edge distortion but may be will increase the
noise.</span></div><div><span>or try to combine anisotropic diffusion with other algorithm, there're many papers explain about it.</span></div><div><br></div><div><br></div><div><span>Lina</span></div></span></div><div><br></div> <div style="font-size: 8pt; font-family: tahoma, 'new york', times, serif; "> <div style="font-size: 12pt; font-family: 'times new roman', 'new york', times, serif; "> <div dir="ltr"> <font size="2" face="Arial"> <hr size="1"> <b><span style="font-weight:bold;">From:</span></b> Pietro Nardelli <pie.nardelli@gmail.com><br> <b><span style="font-weight: bold;">To:</span></b> insight-users@itk.org <br> <b><span style="font-weight: bold;">Sent:</span></b> Tuesday, May 15, 2012 7:48 PM<br> <b><span style="font-weight: bold;">Subject:</span></b> [Insight-users] Anisotropic Diffusion Filtering<br> </font> </div> <br>
Hi itk users,<br><br>I need some advice. I'm trying to segment the airway of a lung from CT<br>Dicom datasets and the threshold connected library seems to be very<br>appropriate. I followed the example of the guide and I implemented it<br>into Slicer 4.1 and I can get good results. I have a doubt though: in<br>most cases I can obtain better results setting to 0 the number of<br>iterations of the smoothing variable, but sometimes a good smoothing<br>might be very helpful. So, I was wondering whether using another<br>anisotropic diffusion filter in place of the curvature flow presented<br>in the example could allow to obtain better results. Have you some<br>advice about the best filter I can use for CT Dicom images?<br><br>Thank you for your help,<br><br>Pietro<br>_____________________________________<br>Powered by <a target="_blank" href="http://www.kitware.com">www.kitware.com</a><br><br>Visit other Kitware open-source projects
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