Bacteria Foraging Optimization Based Color Quantization

Natural Swarm inspired algorithms like PSO, ACO have found their way into image processing. In this paper the same trend of swarm based algorithm BFO is used in application of image processing like image quantization and found effective and optimal results as compared to other algorithms. Color image quantization is an important process of representing true color images using a small number of colors. The objective of this research work is to design an algorithm for Image Quantization using CIE Luv color space based on Bacteria Foraging Optimization. The conducted experiments indicate that proposed algorithm generally results in a significant improvement of image quality.