An Edge detection technique with image segmentation using Ant Colony Optimization: A review

The image processing is the strategy which is put on process different characteristics of the image. Many image processing based programs require the detection and the acceptance of the things. Segmentation is a vital task for such purposes. In computer vision, image segmentation is the task of splitting a digital image into numerous segments.. The goal of segmentation is to simplify and/or change the representation of a picture into anything that is more significant and easier to analyze. In that work, means of edge detection is analyzed which is predicated on picture segmentation. Ant Colony Optimization presents an alternative method of image edge detection. Ant colony optimization (ACO) is a population-based metaheuristic that mimics the foraging conduct of ants to locate estimated answers to difficult optimization problems.