An adaptive bacterial foraging algorithm for fuzzy entropy based image segmentation

Authors:
Nandita Sanyal;Amitava Chatterjee;Sugata Munshi
Affiliations:
Department of Electrical Engineering, B.P. Poddar Institute of Management & Technology, 137 VIP Road, Kolkata 700052, India;Department of Electrical Engineering, Jadavpur University, Kolkata 700032, India;Department of Electrical Engineering, Jadavpur University, Kolkata 700032, India
Venue:
Expert Systems with Applications: An International Journal
Year:
2011

Citing 16
Cited 1

Minimum error thresholding

Pattern Recognition
A survey of thresholding techniques

Computer Vision, Graphics, and Image Processing
Automatic thresholding of gray-level pictures using two-dimensional entropy

Computer Vision, Graphics, and Image Processing
An iterative algorithm for minimum cross entropy thresholding

Pattern Recognition Letters
A fast scheme for optimal thresholding using genetic algorithms

Signal Processing
Digital Image Processing

Digital Image Processing
Image segmentation by three-level thresholding based on maximum fuzzy entropy and genetic algorithm

Pattern Recognition Letters
Object segmentation using ant colony optimization algorithm and fuzzy entropy

Pattern Recognition Letters
A hybrid genetic algorithm and bacterial foraging approach for global optimization

Information Sciences: an International Journal
A hybrid cooperative-comprehensive learning based PSO algorithm for image segmentation using multilevel thresholding

Expert Systems with Applications: An International Journal
Adaptive Computational Chemotaxis in Bacterial Foraging Algorithm

CISIS '08 Proceedings of the 2008 International Conference on Complex, Intelligent and Software Intensive Systems
Transmission loss reduction based on FACTS and bacteria foraging algorithm

PPSN'06 Proceedings of the 9th international conference on Parallel Problem Solving from Nature
A hybrid least square-fuzzy bacterial foraging strategy for harmonic estimation

IEEE Transactions on Evolutionary Computation
A technique of three-level thresholding based on probability partition and fuzzy 3-partition

IEEE Transactions on Fuzzy Systems
Fuzzy homogeneity approach to multilevel thresholding

IEEE Transactions on Image Processing
Thresholding using two-dimensional histogram and fuzzy entropy principle

IEEE Transactions on Image Processing

An artificial bee colony-least square algorithm for solving harmonic estimation problems

Applied Soft Computing

Quantified Score

Hi-index	12.05

Visualization

Abstract

In this paper an Adaptive Bacterial Foraging is proposed for fuzzy entropy optimization when it is applied to the segmentation of gray images. The proposed algorithm represents the improved version of classical bacterial foraging algorithm which is a newly developed stochastic optimization tool. This optimization technique is applied for optimization of the fitness function which is fuzzy entropy. Classical bacterial foraging algorithm is improved by adaptively selecting the exploitation and exploration state in chemotaxis of E.coli. bacteria. The newly developed algorithm is applied on benchmark gray images and proved to be suitable for thresholding based image segmentation.