[Insight-users] itkVectorFuzzyConnectednessImageFilterTest
Sun Hao
snho at sjtu.edu.cn
Tue Aug 3 01:19:16 EDT 2004
Hi Luis,
I do know how to compute the covariance matrix. In the example of itkVectorFuzzyConnectednessImageFilterTest, I can compute object_cov1 and object_cov2 -- the two convariance matrixes, but I don't know how to get homo_cov. Can you tell me that? Thanks!
Regards,
Sun Hao
----- Original Message -----
From: "Luis Ibanez" <luis.ibanez at kitware.com>
To: "Sun Hao" <snho at sjtu.edu.cn>
Cc: <insight-users at itk.org>
Sent: Tuesday, August 03, 2004 12:41 PM
Subject: Re: [Insight-users] itkVectorFuzzyConnectednessImageFilterTest
>
> Hi Sun,
>
> You compute this matrix by taking a region of "example"
> pixels that are representative of the image feature
> that you want to segment.
>
> For example if you have CT images of the liver, then
> you select a group of "liver" pixels.
>
> Note that this method is intended to be used with
> Vector images. Once you have a group of pixels, you
> take their "vector values" and compute their covariance
> matrix. This is a common statistical construct that you
> will find explained in any introductory book on statistics.
>
> In a practical real application you want to do this by
> asking the user to click on representative points of
> the image. Around those points you select regions of
> a pre-specified size, take all the pixels inside those
> regions and use their Vector pixel values in order to
> compute their covariance metric.
>
>
> Regards,
>
>
> Luis
>
>
>
>
> ------------------------
> Sun Hao wrote:
>
> > Hi everybody,
> > When I read itkVectorFuzzyConnectednessImageFilterTest.cxx in ITK
> > examples, I am puzzled by the variable
> > homo_cov[FEATURES_NUM][FEATURES_NUM]. Can you tell me how to compute
> > this matix? Thank you!
> >
> > Best regards,
> >
> > Sun Hao
> >
> >
> > ------------------------------------------------------------------------
> >
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> > Insight-users at itk.org
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>
>
>
>
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