I completely agree, the threshold is key and a better choice is possible for what I show here. A consistent struggle with techniques that rely on a threshold is picking one that performs well in a variety of contexts.

That is a cool approach. I imagine it could automate the threshold step via an step-wise optimization process. Thanks for sharing!