[vtkusers] Medical examples

[José M. Rodriguez Bacallao]

thx, I will try vtkImageHistogramStatistics, right now I don't want itk as
dependence.


On Mon, Mar 4, 2013 at 10:03 AM, David Gobbi <david.gobbi at gmail.com> wrote:

> Yes, there are statistical methods that you can use to automatically
> find the best thresholds between different tissue types in an image.
> For example, K-means clustering.  ITK has several of these clustering
> algorithms.  Or you can use vtkImageHistogramStatistics and set your
> thresholds based on percentiles, if you know the approximate
> proportions of the various tissue types that make up the image.
>
>  - David
>
> On Mon, Mar 4, 2013 at 7:43 AM, José M. Rodriguez Bacallao
> <jmrbcu at gmail.com> wrote:
> > there is an automated way to find those values?
> >
> >
> > On Thu, Jun 2, 2011 at 1:10 PM, David Gobbi <david.gobbi at gmail.com>
> wrote:
> >>
> >> Hi Dora,
> >>
> >> The isovalues and color transfer functions in the medical examples are
> all
> >> hard-coded for the intensity values of the example data.  You will have
> to
> >> find out what values to use for your own data.
> >>
> >>  - David
> >>
> >>
> >> On Wed, Jun 1, 2011 at 7:05 AM, Dora Szasz <dora.szasz at yahoo.com>
> wrote:
> >> > Hello all,
> >> > I have tried to use Medical examples with another set of Dicom images,
> >> > but
> >> > not works ok. Instead of seeing for example a skin, I see a strange
> >> > volume.
> >> > Can anyone tell me why and what should I change?
> >> > Thank you!
> >> > Dora
>
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