[Insight-users] Distinguishing distinct thresholded features

[Zachary Pincus]

There's a full list of all the classes available in ITK available here:
http://www.itk.org/Doxygen/html/classes.html

You may be interested in the ConnectedComponentImageFilter:
http://www.itk.org/Doxygen/html/d3/d6a/ 
classitk_1_1ConnectedComponentImageFilter.html

I tend to modify this filter to achieve whatever results I want (e.g.  
extracting each component into a separate image or whatever), but I  
think the same results could be achieved (albeit less efficiently,  
but these are fast operations we're talking about) with some  
combination of ConnectedComponentImageFilter,  
RelabelComponentImageFilter, ThresholdImageFilter,  
ExtractImageFilter, and some FloodFill iterator.

I am actually surprised that there's no filter that takes a labeled  
image (e.g. the result of ConnectedComponentImageFilter) and reports  
the regions that contain each labeled region. Perhaps there is one  
but I don't know of it...

Zach



On Dec 20, 2005, at 3:32 PM, Chris Farmer wrote:

>
>
> Hi.  I’ve got a thresholded binary image which represents a couple  
> disconnected features of interest.  I’d like to extract each of the  
> distinct, disconnected features in my image and represent it on its  
> own (as either a smaller binary image or some sort of mesh or  
> pointset… doesn’t matter to me yet).  I’ve thought about just  
> trudging through the main image with a neighborhood iterator and  
> keeping track of “objects” I’ve seen, but I was hoping someone here  
> could suggest whether there are established ways of accomplishing  
> this.  I can’t seem to find any search terms that lead me in the  
> right direction in the archives.
>
>
>
> Thanks,
>
> Chris
>
>
>
>
>
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