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Cellular Automata in Image Processing And Geometry
Series: Emergence, Complexity and Computation, Vol. 10
Paul Rosin, Andrew Adamatzky, and Xianfang Sun
Image processing and mathematical morphology routines are naturally parallel. The intensity of a pixel is updated depending on the intensities of its closest neighbouring pixels. The intensities of pixels are updated simultaneously, in discrete time and by the same rule. This is exactly how a cellular automaton works if the intensity of a pixel is taken as the state of a cell. A cellular automaton is a regular array of locally connected finite state machines, or cells, which take discrete states and update their states in parallel in discrete time depending on the states of their closest neighbours. Therefore cellular automata would be a first port of call when designing computing paradigms, architectures and implementations aimed at solving problems of image processing, pattern recognition and generation.
Chapter 7 : Active Image Forgery Detection Using Cellular Automata
Authors: A. Pahlavan Tafti, H. Hassannia
Publisher: Springer
Year: 2014
ISBN: 978-3-319-06430-7
See the book on Springer >>

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