Radius based cellular automata approach for image processing applications

This paper ascertains a model based on cellular automata for implementing various applications relevant to image processing. This model can estimate various image relevant activities like detection of image blobs, edgesof objects, ridges of objects and improve the quality of input image or processed image. All the applications used nearby neighbors to achieve the objective. All the neighbor pixels are divided in the form of radius and a threshold value is accumulating according to the radius neighborhood by averaging and differential calculus method. The threshold value is a common factor to accomplish the objective. To develop RBCA model used grid based concept like all the necessary data are arranged in the form of grid or cell. Objective of RBCA method is to change the current cell value into new cell value on the behalf of transition function and the transition function target up to 2 radius cell value to generate new value. The experimental results of all the applications express efficiency of proposed method.