Research of the Image Segmentation Based on Ant Colony Algorithm

Ant colony algorithm, based on behavior of real ants, is a natural approach to establish from their nest to food source. An ant moves randomly and detects a previously laid pheromone on a path in order to find the shortest way between their nest and the food source. Ant system algorithm is an important methodology to apply on non-linear optimal problems recently. Each ant chooses the next position to visit in accordance with the visibility of the position and the pheromone intensity. In this paper, an ant colony algorithm for image segmentation is proposed. We discuss the ideas behind ant algorithms and describe how they have been implemented with regards to the image segmentation problem. The proposed approach has been tested on different images. The experimental results demonstrate the effectiveness and practicability of the proposed algorithm.