Segmentation in Microscopic Images using Cellular Automata
Tanisha Ayach, Suchitra Behera, Sagarika Padhi, Nazma Naskar, Debajyoty Banik · 2023
This paper investigates cellular automaton (CA)-based segmentation techniques on microscopic images. An image is considered a 2D cellular automaton, and the pixel values are considered the states of the cells. For updating the state of the cell, von Neumann and Moore neighbourhoods have been employed. An existing dataset of microscopic images has been taken, and various segmentation rules have been used for analysis. Additionally, a comparison has been made among the methods, with results demonstrating satisfactory performance. It is also observed that the von Neumann neighbourhood-based approach is producing better results compared to the Moore one.