Re:Image Kernels explained visually
by contravariant on Monday August 08, 2016 @05:28PM
(#12251009)
The problem is that CAs are too generalized. They don't have the kind of structure image kernels have (in particular, they aren't linear transformations).
Just wanted to add this is quoting the definition of CA as instances of dynamical systems. It is interesting to think about how a large number of filter passes would affect an image. Makes me wonder if there are very simple filters that create absolute chaos after a while (could an edge detector be one?).
All you need for a CA is a space in which to map your cells (in an arbitrary number of dimensions, with an arbitrary mapping), some state for each cell (maybe a real, this is arbitrary) and some transition function to compute the next state of each cell from its current state and that of its "neighborhood" (which again is arbitrarily defined.)