Theory and Applications of Two-dimensional, Null-boundary, Nine-Neighborhood, Cellular Automata Linear rules
Null (SQL)
DOI:
10.48550/arxiv.0804.2346
Publication Date:
2008-01-01
AUTHORS (4)
ABSTRACT
This paper deals with the theory and application of 2-Dimensional, nine-neighborhood, null- boundary, uniform as well hybrid Cellular Automata (2D CA) linear rules in image processing. These are classified into nine groups depending upon number neighboring cells influences cell under consideration. All Uniform have been found to be rendering multiple copies a given on which they belong where Hybrid also shown characterizing phenomena zooming in, out, thickening thinning image. Further, using CA new searching algorithm is developed called Sweepers applicable simulate many inter disciplinary research areas like migration organisms towards single point destination, Single Attractor Multiple Theory, Pattern Classification Clustering Problem, Image compression, Encryption Decryption problems, Density problem etc.
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