Spatially Modulated Nonlinear MSG Filtering Effect

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Spatially Modulated Nonlinear MSG Filtering…

Today’s post shows off a spatially modulated nonlinear filtering effect I created by starting with the MSG preset we generated in yesterday’s post, and then working with Swap mutation in the Evolution Editor. This preset is built in a very similar way to yesterday’s organic kaleidoscopic effect, and will hopefully make you a little more comfortable in understanding how to work with locally modulated MSG effects.

The image gallery below shows off the IO (input-output) connections for the different processors that were used to build today’s nonlinear filtering effect. Here is the preset

Note that today’s MSG preset is put together very similarly to yesterday’s post. Both MSG presets first build up a black and white textural pattern in the Tmp Img image stream. That Tmp Img image stream is then used to locally modulate a MSG processor that processes the source image. That processor was a 3C Kaleido_Mod processor for yesterday’s effect. It’s a RGB PathMin processor in today’s post.

Both of these processors have 3 color input ports, 3 color output ports, and an additional input modulation port. The Tmp Img stream is hooked up to the input modulation port. So the textural image stored in the Tmp Img streams acts to locally modulate the RGB PathMin processing in different parts of the canvas.

The Evolution Editor is again a great tool you can use to generate different mutated variations of a MSG processing effect like this.

Pressing the Randomize button will generate mutated parameter variations of the mSG effect. Pressing the Swap button will generate processor swap evolution. Working with randomize and swap evolution is how I got from yesterday’s kaleidoscopic effect to today’s nonlinear filtering effect.

Swap evolution works by randomly swapping different processors in a MSG preset with other processors that have the same kind of IO connections. When processors are swapped they still maintain the old processor’s IO connections. So that’s why my directed evolution session ended up generating a new MSG source processing effect that mirrored the same local modulation via the Tmp Img stream construction strategy that was used in yesterday’s post.

Category: MSG

Tags: abstraction

Spatially Modulated Nonlinear MSG Filtering Effect

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