Automatic threshold selection based on ant colony optimization algorithm

Image segmentation is a long-term difficult problem, which hasn´t been fully solved. Threshold is one of the most popular algorithms. Ant colony optimization algorithm (ACO) was recently proposed algorithm, which has been successfully applied to solve many combinatorial optimization problems. On the analysis of Ostu, we are aware that threshold selection can be viewed as a combinatorial optimization problem. Thus, we introduce a new method to select image threshold automatically based on ACO algorithm. The performance of this algorithm is compared with Ostu, and experimental results show that ACO algorithm can reveal very encouraging results in terms of the quality of solution found and the processing time required