Ant based Swarm Computing Techniques for Edge Detection of Images- A Brief Survey
Rebika Rai, Ratika Pradhan · 2013
Abstract--The social insect metaphor for solving diverse problems has become an emerging issue in the current years emphasizing on stochastic construction process building the solution probabilistically. Ant Colony Optimization (ACO) is an algorithm inspired by the foraging behavior of ants wherein ants deposits a volatile chemical call pheromone on the ground surface for the purpose of foraging and collective interaction via indirect communication. Edge detection mainly is the set of mathematically methods aiming to identify points in an image at which the image brightness changes sharply or formally generating some form of discontinuities. This paper explores the swarm computing technique called Ant Colony Optimization (ACO) for edge detection of imagery.