[Insight-users] Segmenting Visible Human Data

[Stefan Lindenau]

Hi Luis,

I tried to get the example of Josh working but I failed on VC6 and 
Cygwin to compile it. At the moment I want to give your suggestion with 
the ConfidenceConnected and the ThresholdConnected filter a try.
I read the Software Guide and I think that I am now knowing how these 
filters are working. The only thing that I do not understand is how I 
can get the intensity range values from the ConfidenceConnected filter. 
I can get/set the multiplier, but I see no access method to these values.

Maybe I could get them by comparing the input image of the 
ConfidenceConnectedFilter and the output Image, but this seems a bit to 
complicated to me. Is there a more elegant solution? Did I miss a method?

Thank you
Stefan

P.S.: as I have progressed with my work I have seen that the data I need 
can be reduced to 500MB (unsigned char RGB).

Luis Ibanez wrote:

>
> Hi Stefan,
>
>
> The reason for postprocessing the joint regions is that
> if you take two contiguous pieces of the image and run
> level sets on each one, the level sets will evolve in
> a different way at each side of the boundary, and it
> is likely that if you try to put the two level sets
> together just by joining the two blocks of data, the
> zero set surface will not be contiguous from one block
> to the next.
>
> I would anticipate that some smoothing will be needed
> for ironing out any discontinuity in the connection.
> taking the joint region (a region around the boundary
> of the two block and running some more iterations of
> the level set there may help to smooth out the transition
> between the blocks.
>
> You could certainly attempt this post-processing-smoothing
> with other methods. For example, a simple median filter
> has proved to be powerful enough for smoothing out
> transitions and it will be a much faster approach too.
>
> You may want to start by trying Josh's suggestion since
> he and his group are the ones who experimented more
> deeply into this issue.
>
>
> Please let of know of your findings,
>
>
>  Thanks
>
>
>   Luis
>
>
> -----------------------
> Stefan Lindenau wrote:
>
>> Hi Luis,
>>
>> thank you for your quick and comprehensive answer. I will just have 
>> to cut the image in pieces.
>>
>> Only one thing I still do not understand:
>>
>>> If you use level sets, you could post process
>>> the joint regions between your contiguous pieces
>>> in order to smooth out the potential differences
>>> between the level set obtained in one region and
>>> the level set obtained in the facing region.
>>
>>
>>
>> Why is it dependend on the level sets to postprocess the the joint 
>> region. In my comprehension I will just cut the data in big 
>> pieces,process it and put it together just after the processing. Then 
>> such a postprocessing should be possible with any of the methods. Or 
>> did I ignore some facts?
>>
>> Maybe I can get it working with the streaming example for watershed 
>> algorithms as Joshua proposed. I will just have to test it out.
>>
>>
>> thanks
>> Stefan
>>
>> _______________________________________________
>> Insight-users mailing list
>> Insight-users at itk . org
>> http://www . itk . org/mailman/listinfo/insight-users
>>
>
>
>
>
>