[ITK-users] Vectorize/Linearize itk::Image

[Scapegoat Sarthak]

Hi Bradley, Dzenan,

Thanks for your replies. The main idea is the following:

1. Read image from file -- inputImage
2. Generate a mask to remove background information (either using Otsu or
reading another image with this information) -- inputMask
3. Vectorize the inputImage in the region defined by inputMask --
tempColMat or tempRowMat
4. Concatenate multiple tempColMat/tempRowMat -- trainingData
5. Pass trainingData to classifier of choice.

I have tried both the solutions presented and neither work as optimally as
I would like. Ideally, I would like to use a single multi-threaded filter
which takes a mask as input along with the mask and extracts pixel values
as a vector in return.

Best,
Sarthak


On 24 May 2016 at 09:55, Lowekamp, Bradley (NIH/NLM/LHC) [C] <
blowekamp at mail.nih.gov> wrote:

> Hello,
>
> You want to look at the ImportImageContainer[1]. Every itk::Image has one
> of these object to hold the buffer. The fastest way to “convert” the image,
> is not to do any work and just get a pointer to the buffer.
>
> HTH,
> Brad
>
> [1] https://itk.org/Doxygen/html/classitk_1_1ImportImageContainer.html
>
> > On May 24, 2016, at 9:48 AM, Scapegoat Sarthak <
> scapegoat.sarthak at gmail.com> wrote:
> >
> > Hello All,
> >
> > What would be the fastest way to convert an itk::Image< DataType,
> Dimensions > to a single vector of intensities? Ideally, I would like to
> concatenate multiple such vectors and pass them to machine learning
> algorithms.
> >
> > Thanks,
> > Sarthak
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