Image Processing of Natural Calamity Images Using Healthy Bacteria Foraging Optimization Algorithm

The digital Image processing has emerged as an effective tool for analyzing the digital images of various fields and applications of engineering. Threshold technique is the most useful and well known among segmentation methods because of its robustness, simplicity, and high precision. This paper is an attempt to make an efficient segmentation Natural calamity images by Healthy Bacteria Foraging Optimization Algorithm.