Regarding the AdaptiveHistogramEqualizationImageFilter, is there a way to set the function to completely behave as a classical histogram equalization method? Once alpha is set to 0, does beta represent a range from classical histogram equalization (beta=0) to a pass-through filter (beta=1)? Is there a way to set the window so that it uses the original, full-image histogram for each pixel (without setting the radius to cover the entire image)?
Additionally, I’ve experimented with setting the radius to zero and was surprised to find I had a decent histogram equalization result with one of my 3D images. Wouldn’t setting the radius to zero only use the pixel in question’s histogram for its equalizing process?
Thank you in advance and apologies for the random assortment of questions!