Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: An Efficient Edge Detection Technique by Two Dimensional Rectangular
  Cellular Automata   This paper proposes a new pattern of two dimensional cellular automata linear
rules that are used for efficient edge detection of an image. Since cellular
automata is inherently parallel in nature, it has produced desired output
within a unit time interval. We have observed four linear rules among 512 total
linear rules of a rectangular cellular automata in adiabatic or reflexive
boundary condition that produces an optimal result. These four rules are
directly applied once to the images and produced edge detected output. We
compare our results with the existing edge detection algorithms and found that
our results shows better edge detection with an enhancement of edges.

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The categories of this paper are: q-alg
33
The categories of this paper are: plasm-ph
15
The categories of this paper are: nucl-ex
25
The categories of this paper are: patt-sol
12
The categories of this paper are: nucl-th
4
The categories of this paper are: cond-mat
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The categories of this paper are: solv-int
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The categories of this paper are: nlin
5
The categories of this paper are: gr-qc
16
The categories of this paper are: stat
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The categories of this paper are: funct-an
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The categories of this paper are: eess
32
The categories of this paper are: atom-ph
6
The categories of this paper are: astro-ph
27
The categories of this paper are: comp-gas
31
The categories of this paper are: ao-sci