<div>hi, luis</div>
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<div> i'm also working on a similar project, you said "that the images are somehow<br>normalized, both in intensities and in the scaling and orientation<br>of the shapes contained inside of the images." i still have some questions about this:</div>
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<div>I tried to build a traing set for 2D image, firstly i segement the structure for all MRI images (say 10 samples ), the outputs are binary images, then i crop the images to smaller size which only contain the structure and use them as input for PCAshapeEstimator, please correct me if i'm wrong in those steps, but why we still need intensity normalization for binary images? </div>
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<div>and, how to perform a normalization of scaling and orientation on segmented binary images (stucture) ? </div>
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<div>for now i just crop the images in the same dimension (width and height), no normalizations, i guess that's why i have some problem in segmentation when using GeodesicPriorShapeLevelSetImageFilters, i really appreciate if you or other itk users can help me out. </div>
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<div>thank you !</div>
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<div>leo<br></div>
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