Implementation Of Ant Colony Optimization For Digital Image Edge Detection

Edge detection is one of the important issues in image processing. a new concept for improving digital image edge detection using Ant colony optimization (ACO) has been used. It was used to find better solutions to combinatorial optimization problems. ACO, inspired by the searching behavior of ants, it has been used for addressing this problem. ACO has different variants which differ in either the way in which way is constructed or the pheromone is updated on the ants. This proposed work can be an ideal template and ready reference for a novice researcher in the field of image processing to use a typical ACO algorithm out of the different ACO algorithms for his problem. Experimental results are provided to show the existence of the superior performance of the proposed approach. Index Terms-Edge detection, Ant colony optimization, image processing, Feature extraction.