cellular automata for texture analysis and pattern recognition
Cellular automata for texture analysis and pattern recognition refers to the use of computational models that simulate the behavior of individual cells in a grid-like structure to analyze and identify patterns and textures in images or data. These models can detect and classify different patterns based on the changes and interactions between the cells, providing a framework for automated analysis and recognition of textures in various applications.
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