I was wondering if I could possibly have some feedback or help. I am working with SEM images of nanoparticles, in attempt to separate the particles by them being a monomer, dimer, trimer, or larger polymer.
Below is an SEM image of some nanoparticles on an optical fiber
F3_35K_002.tif (6.4 MB)
From using the Pixel and object classification in ilastik I attempted to separate the particles by them being a monomer, dimer, trimer, or polymer as seen below, using the “principal component objects, radius, convenxity, # of defects, branch length, and # of branches” features in ilastik and produced the image below.
export.tiff (14.3 MB)
Below is a prediction from a different image from ilastik
export2.tiff (18.0 MB)
This one worked out decently, but at different magnifications in the SEM or sometimes different images, the prediction starts to be not as good. As seen below
export3.tiff (9.4 MB)
I have been working to resolve this issue, but to not much success. Is there a known way to classify objects based on their eccentricity, or maybe a way to classify its shape that has less to do with size?