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Working on my to explore escape-time fractals, rendered with distance estimator colouring using my project. It's a script that calls out to for calculator functionality, plus image fitness function in custom code (using for processing).

Flatness of seems to be a good to add into the function for exploring algorithmically, because stretched/skewed images will have strong directionality peaks, while more regions will be flatter.

I implemented it using 5x5 filters as suggested on the website. Nothing fancy (like Earth Mover's Distance, which I haven't figured out for circular arrays yet) for the histogram comparison, just Euclidean vector distance.

ref: imagej.net/Directionality#Loca

The bot only renders high resolution versions of the most interesting (according to its algorithmic fitness functions) images.

I chose the 4 most interesting (according to my own personal preference) of 8 of those high resolution images.

It takes about a minute (wall-clock time, powerful CPU) to decide whether to render high resolution, and about 3 minutes to render (all of this depends on fractal iteration formula, which is randomly generated, and location specifics).

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