When I select the Structure feature in Trainable Weka 3D, the features produced are labelled “Structure_largest” and “Structure_smallest” (for each sigma and for integration scale 1 and 3). These appear to be the lst and 2nd of the 3 eigenvalues of the structure tensor (I compared to the output from ImageScience.computeEigenimages(sigma,intScale,image) ). That is, the feature labelled “Structure_smallest” should really be called “Structure_middle” (to be consistent with the Hessian features), and the real “Structure_smallest” is missing. It looks like one little bit of code that hasn’t been adapted from 2D to 3D.
This is not important for my work, just thought I should make a report.