A Systematic way for Image Segmentation based on Bacteria Foraging Optimization Technique

Bacterial foraging optimization algorithm (BFOA) has been widely accepted as a global optimization algorithm of current interest for distributed optimization and control. BFOA is inspired by the social foraging behavior of Escherichia coli. BFOA has already drawn the attention of researchers because of its efficiency in solving real-world optimization problems arising in several application domains. The purpose of this paper is to detect the image segmentation in an efficient way using Bacterial Foraging Optimization which is an optimization technique inspired from E. coli bacteria and does not require any threshold values in image segmentation. Hence, this technique helps to reduce the computational complexity and time consuming. It is also demonstrated in this study that this method can rectify the shortage perfectly, and obtain a more ideal edge image.