[Insight-users] itkVectorFuzzyConnectednessImageFilterTest

[Luis Ibanez]

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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