[ITK-users] [ITK] Texture pixel by pixel

[Timothee Evain]

Hello Francisco,

I'm not sure about what you are trying to do, but computing a feature on a single pixel does not make much sense to me.
When you are trying to characterize a texture, you rely on the fact there should be a heterogeneity in an area. The feature computing try to highlight such differences (heterogeneity/homogeneity, constrast, symmetry...)
Nevertheless, you may be interested by this example : http://itk.org/Wiki/ITK/Examples/Statistics/TextureFeatures
It shows how to obtain "feature image", i.e. an image where each pixel contain the value of a feature computed on a 3x3x3 neighborhood.
You just have to replace the ScalarImageToCooccurrenceMatrixFilter & HistogramToTextureFeaturesFilter by your ScalarImageToTextureFeaturesFilter (which is just the fusion of the two).

About your concern for computation time, I'm afraid there is no other easy way than iterating a mask region. You can tune the neighborhood size to get acceptable results in balance with speed.

HTH

Tim

----- Mail original -----
De: "Francisco Lopez de la Franca" <franciscolopezdelafranca at gmail.com>
À: "Insight Users" <insight-users at itk.org>
Envoyé: Lundi 21 Septembre 2015 13:15:19
Objet: [ITK] [ITK-users] Texture pixel by pixel

Hi, 
I've used the itk::Statistics::ScalarImageToTextureFeaturesFilter class with the default parameters and everything was OK. 

But now, I have to calculate the texture features of a 2D scalar image pixel by pixel, I mean, iterate over the whole image and calculate the texture features of every pixel. 

I guess I've got to use each pixel as the masked region over which to calculate the texture features, but I think this process could be very slow (I have to do it with a lot of 2D images). 

Is there a faster way to do it or isn't it possible as I've described? 

Thanks a lot. 
Kind regards. 

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