[Insight-users] Morphological Operation

[Neil Panjwani]

The application is CT imaging with tagged materials. If there is a thin
layer of tissue (0 HU) with brightly tagged materials (>400 HU) one side and
very dark air (< -600 HU) on the other, the gradient magnitude at the tissue
becomes very high, essentially marking the tissue as an edge. This leads to
significant fold erosion in my application.

On Sun, Jun 19, 2011 at 1:30 PM, David Doria <daviddoria at gmail.com> wrote:

> On Sun, Jun 19, 2011 at 1:19 PM, Neil Panjwani <paniwani at gmail.com> wrote:
> > I know the the tophat filters find local minima and maxima, but I'm
> looking
> > for an operation that finds a region that has dark on one side and light
> on
> > the other. Is there anything like that?
>
> Unless "side" is defined very strongly, like "the region of the image
> to the left of a vertical line", I think you'll need to use a
> collection of kernels rather than just a single one.  The values of
> these kernels would be the same as a normal edge detection kernel
> (Sobel, etc), but then you would rotate the kernel every few degrees,
> and then take the maximal responses over the collection of
> convolutions with all of the kernels.
>
> What is the application? Will a standard edge detection not work?
>
> David
>
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