[Insight-developers] Erosion/Dilation Speed Tests
Miller, James V (Research)
millerjv@crd.ge.com
Mon, 12 May 2003 10:47:00 -0400
This is not what I would have expected.
Digging through Quantify results previously, the BinaryDilate
was about twice the speed of the BinaryErode.
I'll run the itkObjectMorphologyImageFilterTest through Quantify
to see the respective bottlenecks.
Jim
> -----Original Message-----
> From: Stephen R. Aylward [mailto:aylward@unc.edu]
> Sent: Sunday, May 11, 2003 2:01 PM
> To: Insight-Developers (E-mail)
> Subject: [Insight-developers] Erosion/Dilation Speed Tests
>
>
> Hi,
>
> I ran some speed tests to compare
> itkObject[Erode|Dilate]MophologyImageFilter
> with
> itkBinary[Erode|Dilate]ImageFilter
>
> These tests are contained in
> Insight/Testing/Code/BasicFilters/itkObjectMophologyImageFilterTest
>
> Data: 50x50x50, unsigned short image
>
> Windows 2000 - compiled in MSVC++6 with RelWithDebInfo mode.
>
> Pentium 4 Dual Pentium Xeon
> Avg Time (sec) Avg Time (sec)
> ObjectDilate 0.425 0.14
> BinaryDilate 12.37 4.10
>
> ObjectErode 0.035 0.015
> BinaryErode 0.130 0.047
>
> So, for Dilation the speedup is ~30x and for erosion the
> speedup is ~4x.
> This puts ITK as
>
> Note that ObjectErode is not a 100% compatible implementation of
> erosion. You actually need to use (radius-1) for the ObjectErosion
> filter to get the same result as with BinaryErosion - I did
> not do that
> in the above tests - so ObjectErode is actually faster than reported.
>
> What about swapping the names of these two filters? The
> ObjectDilate/Erode filters assumes there are fixed (user specified)
> foreground and background values. The BinaryDilate/Erode filters
> perform tests on adjacent pixels to determine what value with
> which to
> fill a dilation/erosion.
>
> Stephen
>
> --
> ===============================================
> Dr. Stephen R. Aylward
> Assistant Professor of Radiology
> Adjunct Assistant Professor of Computer Science
> http://caddlab.rad.unc.edu
> aylward@unc.edu
> (919) 966-9695
>
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