Fractal cloud model cellular automation based art pattern generation method
A cellular automaton and pattern generation technology, applied in the field of data processing, can solve problems such as relying on the generation matrix, unable to generate artistic patterns, and the ambiguity of the evolution of cellular automata without considering randomness, etc.
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[0034] Step a is a preprocessing step, which preprocesses the input image, converts the image into a grayscale image and obtains the grayscale value matrix of the pattern as the initial state matrix of the cell, and then determines the relevant parameters, such as the number of evolutions of the cellular automata p And fractal matrix iteration number q etc.
[0035] Steps b, c, and d all belong to the evolution steps of the cloud model cellular automata. The purpose of introducing cloud model cellular automata evolution here is to use cloud model reasoning to simulate human brain decision-making to obtain ideal complex, beautiful and fractal patterns with uncertainty in details.
[0036] Steps b and c together constitute a complete cloud reasoner, which performs cloud reasoning for each cell, such as figure 2 As shown, the number of antecedents of the multi-condition and multi-rule reasoner is 2, and the number of rules is 9. The specific implementation method is as follows:...
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