Hi Grego,<br><br>I am not familiar with itk implementation of Chan and Vese segmentation method but for the Point 3 you can use Mask Negated filter.<br><br>Below are the details:<br><a href="http://www.itk.org/Doxygen/html/classitk_1_1MaskNegatedImageFilter.html">http://www.itk.org/Doxygen/html/classitk_1_1MaskNegatedImageFilter.html</a><br>
<br>HTH,<br>Saurabh<br><br><div class="gmail_quote">On Sun, Jul 29, 2012 at 1:20 AM, Grego <span dir="ltr"><<a href="mailto:gregoris.liasis@st.ouc.ac.cy" target="_blank">gregoris.liasis@st.ouc.ac.cy</a>></span> wrote:<br>
<blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">Dear all,<br>
<br>
I have some questions on ITK implementation Chan and Vese segmentation<br>
method<br>
<br>
1. If I have undestood correct the initial level set is a circle created<br>
using the seed points and the distance. If I give multible seed points and<br>
distances that means it will create multible initial circles and run all of<br>
them during the iterations? Is there any other way to initialize?<br>
<br>
2. Can somewhere change the initialization step (dt in the original paper).<br>
<br>
3. The output image it is a mask with to values 0 and 255. Can I convert<br>
that image to exactly the opposite (zeros to become 255 and 255 to become<br>
zeros) becouse the objects that I am trying to segment are presented with<br>
black and I need them to be white so can proceed with my pricessing<br>
procedures.<br>
<br>
4. I would realy also need help on how to change the code so I can see the<br>
active contour evolution.<br>
<br>
Thank you in advance.<br>
<br>
Grego<br>
<br>
<br>
<br>
<br>
--<br>
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