I’m working to cluster and classify segments based on metrics pulled from ‘Image Segment Features’ node. Seems to be clustering well and I think the results are good. BUT.
I’d like to put the now clustered segments back together in the right position and relative to the proper original image so that I can colour them by cluster and overlay that on top of the original image. Basically to validate the output.
My issue here is that after running the Image Segment Features node, the resultant table is a whole bunch of individual segments and I can’t figure out how to recombine them in their original positions.
In a general sense my workflow looks like:
Image reader -> some preprocessing -> Image segment features -> Kmeans clustering -> ???