On Invertible Three Neighborhood Null-Boundary Uniform Cellular Automata
نویسندگان
چکیده
This paper solves the problem of determining the number of cells in an invertible three neighborhood null-boundary uniform cellular automaton (CA) by using its rule vector graph (RVG). The RVG represents an efficient data structure designed to characterize CA evolution and is derived out of its rule vector (RV). The concept of a horizontal rule vector subgraph (HRVS) is introduced to formulate the analytical framework of the solution. The RVG of a CA is partitioned into a number of identical HRVSs. It has been shown that invertible CA size depends on the size of the HRVS.
منابع مشابه
Linear Time Algorithm for Identifying the Invertibility of Null-Boundary Three Neighborhood Cellular Automata
This paper reports an algorithm to check for the invertibility of nullboundary three neighborhood cellular automata (CAs). While the best known result for checking invertibility is quadratic [1, 2], the complexity of the proposed algorithm is linear. An efficient data structure called a rule vector graph (RVG) is proposed to represent the global functionality of a cellular automaton (CA) by its...
متن کاملEdge Detection Based On Nearest Neighbor Linear Cellular Automata Rules and Fuzzy Rule Based System
Edge Detection is an important task for sharpening the boundary of images to detect the region of interest. This paper applies a linear cellular automata rules and a Mamdani Fuzzy inference model for edge detection in both monochromatic and the RGB images. In the uniform cellular automata a transition matrix has been developed for edge detection. The Results have been compared to the ...
متن کاملTheory and Applications of Two-dimensional, Null-boundary, Nine-Neighborhood, Cellular Automata Linear rules
This paper deals with the theory and application of 2-Dimensional, nine-neighborhood, nullboundary, uniform as well as hybrid Cellular Automata (2D CA) linear rules in image processing. These rules are classified into nine groups depending upon the number of neighboring cells influences the cell under consideration. All the Uniform rules have been found to be rendering multiple copies of a give...
متن کاملEdge Detection Based On Nearest Neighbor Linear Cellular Automata Rules and Fuzzy Rule Based System
Edge Detection is an important task for sharpening the boundary of images to detect the region of interest. This paper applies a linear cellular automata rules and a Mamdani Fuzzy inference model for edge detection in both monochromatic and the RGB images. In the uniform cellular automata a transition matrix has been developed for edge detection. The Results have been compared to the ...
متن کاملModeling Urban Sprawling of Tehran Metropolitan Area Based on PSO
The main goal of the present study was to implement a hybrid pattern of cellular automata model and particle swarm optimization algorithm based on TM and ETM+ imagery of landsat satellite from 1988 to 2010 for simulating the urban sprawling. In this study, an alternative model was implemented in two ways: the first method was based on two images (1988 and 2010) and the second one was based on t...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- Complex Systems
دوره 20 شماره
صفحات -
تاریخ انتشار 2011