Edge Detection Using Ant Colony Optimization Method

Abstract

Edges characterize boundaries and are therefore a problem of fundamental importance in image processing. Image Edge
detection reduces the amount of data and filters out useless information from image, while preserving the important
structural properties in an image. Since edge detection is using in image processing for object detection. Ant Colony
Optimization (ACO) is used to detect edges in digital images. The techniques generate a pheromone matrix , it represents
the edge information at each pixel position on the routes formed by ants dispatched on the image. The edge map of image
is obtained using thresholdingprocess . The end points obtained from threshoding process are calculated and the ants
are placed at these end points.All the movement of the ants is decided by the local variation of the pixel intensity values.
By using anthresholding technique the edges from the final pheromone matrix are extracted. The results are analyze
using Shanon’s Entropy function and SNR Values