Image Segmentation Using RGB Decomposition and Modified Bacterial Foraging Optimization
Bobbinpreet Kaur, Raju Sharma · 2013
This paper addresses the problem of segmenting the image into various color components by using combined approach of Modified Bacterial foraging optimization approach and RGB Decomposition. The original image is decomposed into separate planes of R G and B and then modified Bacterial Foraging algorithm is applied on three planes separately to calculate three different thresholds. Segmentation is performed on the basis of Thresholding. Since Image segmentation is the basic step in many image processing applications so faithful segmentation algorithm must be developed for successful implementation of the processing applications. Main aim of 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. The accuracy of any algorithm varies with input image. This is an extensive research area as many applications depend upon results of the algorithm for image segmentation, but it is still difficult to assess whether one algorithm produces more accurate results than another for all type of images.