02-05-2012, 11:33 AM
Ant Colony Optimization A Technique used for Image Processing
Abstract
Ant colony optimization (ACO) is a technique which can be
used for various applications. Ant colony Optimization is an
optimization technique that is based on the foraging behaviour
of real ant colonies. Ant colony optimization is applied for the
image processing which are on the basis continuous optimization.
This paper proposes an ant colony optimization (ACO) based
algorithm for continuous optimization problems on images like
image edge detection, image compression, image segmentation,
structural damage monitoring etc in image processing .This paper
represents that how ACO is applied for various applications in
image processing. The algorithm can find the optimal solution for
problem. The results show feasibility of the algorithm in terms of
accuracy and continuous optimization.
Ant Colony optimization is a technique which is used for image
processing such as edge detection, image compression, image
segmentation, image enhancement etc. . As ACO is used for
optimization of continuous problems, so it is used for various
applications of image processing which shows continuous
behaviour. The Ant Colony optimization gives the optimal
solutions which are further processed to find the actual results. It
gives many outputs on different threshold values. The shortest path
of ants has more pheromone than longest paths. So the pheromone
updating information is necessary in ACO.