Defect Fruit Image Analysis using Advanced Bacterial Foraging Optimizing Algorithm

Abstract

Bacterial foraging optimization algorithm has been widely accepted as a global optimization algorithm. 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. Core aim of image segmentation is to extract the information which is of interest for a particular application. Infact this research addresses the novel segmentation of infected part of fruits based on color features and the image into various color components by using combined approach of Advanced Bacterial foraging optimization Algorithm (ABFOA) approach and RGB decomposition. The original image is decomposed into separate planes of R G and B and then Improved Bacterial Foraging algorithm is applied on three planes separately to calculate three different thresholds. The experimental results clarify the effectiveness of proposed approach to improve the segmentation quality in aspects of precision and computational time. The simulation results reveal that the proposed approach is promising. Segmentation is performed on the basis of Thresholding.