A Survey on Two Dimensional Cellular Automata and Its Application in Image Processing
It provides a review of methods for researchers in image processing, but it is incremental as it summarizes existing work without introducing new techniques.
This paper surveys existing literature on using two-dimensional cellular automata for various image processing tasks, including rotation, zooming, translation, segmentation, edge detection, compression, and noise reduction, and presents experimental results from some of these methodologies.
Parallel algorithms for solving any image processing task is a highly demanded approach in the modern world. Cellular Automata (CA) are the most common and simple models of parallel computation. So, CA has been successfully used in the domain of image processing for the last couple of years. This paper provides a survey of available literatures of some methodologies employed by different researchers to utilize the cellular automata for solving some important problems of image processing. The survey includes some important image processing tasks such as rotation, zooming, translation, segmentation, edge detection, compression and noise reduction of images. Finally, the experimental results of some methodologies are presented.