[ITK-users] Implementing the Gray Level Run Length algorithm

[med aweng]

Hi Jon,

Thanks for your kind reply. For the test, would this be the file I should
be looking at?
https://github.com/midas-journal/midas-journal-231/blob/master/Source/itkRunLengthFeaturesTest.cxx

Thanks.


On Wed, Jul 23, 2014 at 2:16 PM, Jon Haitz Legarreta <
jhlegarreta at vicomtech.org> wrote:

> Hi,
> I haven't used it personally, but just in case you haven't done it yet,
> having a look ar the Insight Journal article [1] that first proposed the
> related classes, functions or analysis may be of help.
>
> It includes a paper on the features of the original filters, and the
> source code, including a test that shows how to use them.
>
> HTH,
> JON HAITZ
>
>
> [1] http://www.insight-journal.org/browse/publication/231
>
>
> On 23 July 2014 14:07, med aweng <medswengineer at gmail.com> wrote:
>
>> Hello,
>>
>> I have understood how the "Gray Level Run Length" method works, and
>> trying to implement that in ITK.
>>
>> I'm kind of new to ITK, and just need some guidance on how to proceed.
>>
>> This is what I have done so far for instance:
>>
>> typedef itk::Image<double, 3> InputImageType;
>> typedef
>> itk::Statistics::ScalarImageToRunLengthMatrixFilter<InputImageType>
>> FilterType;
>> typedef VectorContainer<unsigned char, OffsetType> OffsetVector;
>> typedef typename OffsetVector::Pointer OffsetVectorPointer;
>> InputImageType::Pointer image = InputImageType::New();
>> FilterType::Pointer filter = FilterType::New();
>> filter->SetInput(image);
>>
>> InputImageType::OffsetType offset1 ={{1,0}};
>>
>> FilterType::OffsetVectorPointer offsetV = FilterType::OffsetVector::New();
>> offsetV.push_back(offset1);
>>
>> filter->SetOffsets(offsetV);
>>
>> Any guidance or hints on how to proceed on that?
>>
>> Thanks.
>>
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