Image Segmentation Using Revised Bacterial Foraging Optimization Algorithm

In digital image processing, image segmentation is the most important task. This paper provides an faithful image segmentation algorithm with biologically inspired technique Bacterial Foraging Optimization (BFO) for different images with different size.. The methodology of this paper is to separate R G and B planes of input image and then Revised Bacterial Foraging Optimization Algorithm (RBFOA) is applied on R G and B planes separately to calculate three different thresholds. Image is segmented using RBFOA and the results are compared to Otsu method. All the experiment results show that the RBFO algorithm has better performance than that of standard Otsu method. This method of segmentation is specially used for Satellite Images of Defence and Intelligence images in satellite imaging corporation. The proposed new algorithm of RBFOA is performed on the basis of thresholding Keywordslmage Segmentation, RBFOA, RGB Planes, Satellite Images, Thresholding.