[Insight-users] coloreg region segmentation

[Mathieu Lamard]

Hi Luis

Thanks fot your prompt answers

In fact my images are RGB images but all pixels except doppler zone are 
grey (R=G=B).
The segmentation is easy to do. But I am looking for the main framework 
to do that. What classes have I to use  : itkRegion,... ?
The goal is to get the contour of each colored region as fast as possible.
One other thing is that I know one point in each region. So I think that 
I have to perform a growing region.
What do you think about that ?

Mathieu



Luis Ibanez wrote:
> 
> Hi Mathieu,
> 
> Could you please clarify a bit your target
> application ?
> 
> Is the "2D Ultrasound with doppler" an image
> with several channels ?
> if so, how many channels ?
> 
> Is it encoded like an RGB image ?
> 
> The KLMSegmentationRegion will manage several
> components. It will classify pixels for you.
> 
> Pixel classification can also be achieved with
> the classes on the statistical framework.
> (e.g. Mixture modeling)
> 
> Contour extraction will have to be done with
> additional filters.
> 
> Another method for segmentation of colored
> images is the VoronoiSegmentationImageFilter
> http://public.kitware.com/Insight/Doxygen/html/classitk_1_1VoronoiSegmentationImageFilter.html 
> 
> 
> 
> 
> Please let us know
> 
> 
> Thanks
> 
> 
>   Luis
> 
> 
> =========================================
> 
> Mathieu Lamard wrote:
> 
>> Hi all,
>>
>> I want to know what is the best way to segment colored region in a 
>> grayscale image (2D ultra sound image with doppler). In fact my 
>> interest is just for the contour.
>> Shall I use itkSegmentationRegion and inherit it ?
>>
>> Thanks in advance
>>
>> Mathieu
>>
>>
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>>
> 
> 
> 
> 
> 
>