A Novel Image Segmentation Method Based on An Improved Bacterial Foraging Optimization Algorithm
نویسندگان
چکیده
When some bionic optimization algorithms are used for image segmentation, we find that the search speeds of these algorithms are slow and the local searching abilities of these algorithms need be improved. In order to solve these problems, this paper proposed a new image segmentation method based on the improved bacterial foraging optimization algorithm. Firstly, a dynamic step size is used to instead of the fixed step size of the chemotaxis operator, and a dynamic probability is used to instead of the fixed probability of elimination-dispersal operator. Then, the gray histograms of the images are extracted for the image segmentation. Ultimately, the images are segmented using the improved bacterial foraging optimization algorithm. The image segmentation results show that the accuracy and the speed of the image segmentation based on the improved bacterial foraging optimization algorithm are superior to the ones that based on others traditional bionic optimization algorithms.
منابع مشابه
Defect Fruit Image Analysis using Advanced Bacterial Foraging Optimizing Algorithm
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 particula...
متن کاملImage 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 foundati...
متن کاملImproving Brain Magnetic Resonance Image (MRI) Segmentation via a Novel Algorithm based on Genetic and Regional Growth
Background:Â Regarding the importance of right diagnosis in medical applications, various methods have been exploited for processing medical images solar. The method of segmentation is used to analyze anal to miscall structures in medical imaging.Objective:Â This study describes a new method for brain Magnetic Resonance Image (MRI) segmentation via a novel algorithm based on genetic and regiona...
متن کاملAn Improved Pixon-Based Approach for Image Segmentation
An improved pixon-based method is proposed in this paper for image segmentation. In thisapproach, a wavelet thresholding technique is initially applied on the image to reduce noise and toslightly smooth the image. This technique causes an image not to be oversegmented when the pixonbasedmethod is used. Indeed, the wavelet thresholding, as a pre-processing step, eliminates theunnecessary details...
متن کاملFacial Skin Segmentation Using Bacterial Foraging Optimization Algorithm
Nowadays, analyzing human facial image has gained an ever-increasing importance due to its various applications. Image segmentation is required as a very important and fundamental operation for significant analysis and interpretation of images. Among the segmentation methods, image thresholding technique is one of the most well-known methods due to its simplicity, robustness, and high precision...
متن کامل