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

[Oleg Subachev]

Since error message says something about "initial transform" may be it
is necessary to set up initial transform ?
As you see from code I do not call SetInitialTransform method at all.
I hope that no initial transform or default initial transform (if any)
will be enough.
I simply want to get similarity metric value for two image files
without any transform.

-- 
Best regards,
Oleg Subachev

On Thu, Nov 19, 2015 at 12:01 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
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>>