[Insight-users] How to flood fill a big hole using a seed point

[Fucang Jia]

This is a multi-part message in MIME format.

------=_NextPart_000_57fd_8e0_79ae
Content-Type: text/plain; format=flowed

Hi everyone, hi Luis,

The images I segmented often have very big hole which is another object 
inside the organ in fact. I use morphology to close it, but only close the 
smaller holes. I have noticed that there needs a function to use floodfill 
function. Is it possible to use a seed point to close the other object 
inside?  Suppose that there are two circle which has the same center, the 
region between these two circle are segmented, but I want to calssify the 
internal region inside the smaller circle also to be the segmented object. 
BTW, There are often several segmented objects in the segmented image, not 
only one.

Thank you very much!

Fucang



_________________________________________________________________
Tired of spam? Get advanced junk mail protection with MSN 8. 
http://join.msn.com/?page=features/junkmail

------=_NextPart_000_57fd_8e0_79ae
Content-Type: image/jpeg; name="illustrations.JPG"
Content-Transfer-Encoding: base64
Content-Disposition: attachment; filename="illustrations.JPG"
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------=_NextPart_000_57fd_8e0_79ae--