[ITK] How to get to get image similarity metrics under .NET ?

[Dan Mueller]

Hi,

The error message seems to suggest 1.PNG and 2.PNG are differing sizes.
Perhaps you could crop one of the images so they are equal sizes...

Good luck, Dan
On 19 Nov 2015 5:32 pm, "Oleg Subachev" <osubachev at gmail.com> wrote:

> Thanks all of you.
> But now the code:
> using ( ImageRegistrationMethod method = new ImageRegistrationMethod() )
> {
> method.SetMetricAsMattesMutualInformation();
> double metric = method.MetricEvaluate(
> SimpleITK.ReadImage( "1.png", PixelIDValueEnum.sitkFloat32
> ),SimpleITK.ReadImage( "2.png", PixelIDValueEnum.sitkFloat32 ));
> }
>
> throws new exception:
> {"Exception thrown in SimpleITK
> ImageRegistrationMethod_MetricEvaluate:
>
> ..\\..\\..\\..\\..\\SimpleITK\\Code\\Registration\\src\\sitkImageRegistrationMethod.cxx:922:\nsitk::ERROR:
> Unexpected error converting initial transform! Possible miss matching
> dimensions!"}
>
> --
> Best regards,
> Oleg Subachev
>
>
> On Wed, Nov 18, 2015 at 8:14 PM, Yaniv, Ziv Rafael (NIH/NLM/LHC) [C]
> <zivrafael.yaniv at nih.gov> wrote:
> > Hello Oleg,
> >
> > The ImageRegistrationMethod only supports images with pixel type
> > sitkFloat32 and sitkFloat64. You can either specify the pixel type when
> > reading the image
> > (
> http://www.itk.org/SimpleITKDoxygen/html/namespaceitk_1_1simple.html#a02ff
> > c30c3c55dd9eeff3f76ba19f35e7) or read the image with its native pixel
> type
> > and then
> > use the SimpleITK Cast function
> > (
> http://www.itk.org/SimpleITKDoxygen/html/namespaceitk_1_1simple.html#af8c9
> > d7cc96a299a05890e9c3db911885), casting it to either of these two types.
> >
> >    Ziv
> >
> >
> >
> > On 11/18/15, 9:51 AM, "Oleg Subachev" <osubachev at gmail.com> wrote:
> >
> >>Thanks, Brad.
> >>
> >>But when I try this code:
> >>using ( ImageRegistrationMethod method = new ImageRegistrationMethod() )
> >>{
> >>method.SetMetricAsMattesMutualInformation( 50 );
> >>double metric = method.MetricEvaluate( SimpleITK.ReadImage( "1.png" ),
> >>SimpleITK.ReadImage( "2.png" ) );
> >>}
> >>
> >>I get the exception:
> >>{"Exception thrown in SimpleITK
> >>ImageRegistrationMethod_MetricEvaluate:
>
> >>..\\..\\..\\..\\..\\SimpleITK\\Code\\Registration\\src\\sitkImageRegistrat
> >>ionMethod.cxx:862:\nsitk::ERROR:
> >>Filter does not support fixed image type: vector of 8-bit unsigned
> >>integer"}
> >>
> >>What's wrong ?
> >>What is the simplest way to get similarity value of two image files ?
> >>
> >>--
> >>Best regards,
> >>Oleg Subachev
> >>
> >>On Tue, Nov 17, 2015 at 6:41 PM, Bradley Lowekamp
> >><blowekamp at mail.nih.gov> wrote:
> >>> Hello,
> >>>
> >>> You should look into SimpleITK's
> >>>ImageRegistrationMethod::MetricEvaluate( Image, Image ) member function.
> >>>
> >>> Here is a Python example of using the method, C# should be similar:
> >>>
> >>>
> >>>
> http://insightsoftwareconsortium.github.io/SimpleITK-Notebooks/63_Registr
> >>>ation_Initialization.html
> >>>
> >>> HTH,
> >>> Brad
> >>>
> >>> On Nov 17, 2015, at 8:24 AM, Oleg Subachev <osubachev at gmail.com>
> wrote:
> >>>
> >>>> I need to get similarity metrics for 2D images under .NET.
> >>>> According to ITK documentation
> >>>> (http://www.itk.org/Doxygen/html/ImageSimilarityMetricsPage.html)
> >>>> there are several Image To Image metrics available.
> >>>> ITK itself contains corresponding methods.
> >>>> But I cannot find those methods in SimpleITK :-(
> >>>> There is SimpleITK.NormalizedCorrelation(Image, Image, Image) method,
> >>>> but it seems to have nothing with similarity metrics.
> >>>>
> >>>> How to get to get image similarity metrics under .NET ?
> >>>>
> >>>> --
> >>>> Best regards,
> >>>>
> >>>> Oleg Subachev
> >>>> _______________________________________________
> >>>> Community mailing list
> >>>> Community at itk.org
> >>>> http://public.kitware.com/mailman/listinfo/community
> >>>
> >>_______________________________________________
> >>Community mailing list
> >>Community at itk.org
> >>http://public.kitware.com/mailman/listinfo/community
> >
> _______________________________________________
> Community mailing list
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>
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