Image Thresholding using Improved Bacterial Foraging Optimization in RGB decomposed Planes

This paper addresses the problem of segmenting the image based on thresholding from its background by using combined approach of improved Bacterial foraging optimization approach and decomposed RGB planes. Three Thresholds are computed from three different RGB decomposed images. The summation of Threhold Values are applied on the image to perform segmentation. Image segmentation is the foundation process in many applications so authentic segmentation algorithm must be developed for successful execution of the image analysis applications. Motive behind image segmentation is to extract the information which is of interest for a particular application. This methodology will be able to separate three different colors of original image.