Ant based Swarm Computing Techniques for Edge Detection of Images- A Brief Survey
نویسندگان
چکیده
-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. General Terms / Keywords--Swarm Intelligence, Artificial Intelligence, Ant Colony Optimization, Edge detection,
منابع مشابه
IASC-CI: Improved Ant Based Swarm Computing for Classifying Imagery
The social insect metaphor for working out arrays of predicaments has become promising vicinity in latest years focusing on indirect or direct interactions among various agents. Swarm Computing has a multidisciplinary character as its study provides insights that can help humans manage complex systems that offer an alternative way of designing intelligent systems which emphasises on the emergen...
متن کاملNoisy images edge detection: Ant colony optimization algorithm
The edges of an image define the image boundary. When the image is noisy, it does not become easy to identify the edges. Therefore, a method requests to be developed that can identify edges clearly in a noisy image. Many methods have been proposed earlier using filters, transforms and wavelets with Ant colony optimization (ACO) that detect edges. We here used ACO for edge detection of noisy ima...
متن کاملAASC: Advanced Ant Based Swarm Computing for Detection of Edges in Imagery
-The social insect allegory for working out problems has become a promising area in the recent years emphasizing on stochastic construction practice building the key probabilistically. The approach focuses on direct or indirect communications among uncomplicated agents. Swarm Intelligence is the collective behavior of decentralized, self-organized system whereby the joint behavior of agent inte...
متن کاملImage Edge Detection based on ACO-PSO Algorithm
This survey focuses on the problem of parameters selection in image edge detection by ant colony optimization (ACO) algorithm. By introducing particle swarm optimization (PSO) algorithm to optimize parameters in ACO algorithm, the fitness function based on connectivity of image edge is proposed to evaluate the quality of parameters in ACO algorithm. And the ACO-PSO algorithm is applied to image...
متن کاملIAPSO-TCI: Improved Ant and Particle Swarm based Optimization Techniques for Classifying Imagery
The biologically inspired world comprising of social insect metaphor for solving out wide range of dilemma has become potentially promising area in most recent duration focusing on indirect or direct coordination’s among diverse artificial agents. Swarm [8] apparently is a disorganized collection / population of moving individual that tends to cluster together while each individual seems to be ...
متن کامل