An improved biogeography based optimization approach for segmentation of human head CT-scan images employing fuzzy entropy

Authors:
Amitava Chatterjee;Patrick Siarry;Amir Nakib;Raphael Blanc
Affiliations:
Laboratoire Images, Signaux et Systèmes Intelligents (LiSSi, EA 3956), Université Paris XII Val de Marne, 61 avenue du Général de Gaulle, 94010 Créteil, France and Jadavpu ...;Laboratoire Images, Signaux et Systèmes Intelligents (LiSSi, EA 3956), Université Paris XII Val de Marne, 61 avenue du Général de Gaulle, 94010 Créteil, France;Laboratoire Images, Signaux et Systèmes Intelligents (LiSSi, EA 3956), Université Paris XII Val de Marne, 61 avenue du Général de Gaulle, 94010 Créteil, France;Fondation Adolphe De Rothschild, Département Neurosciences, Service de Neuroradiologie Interventionnelle, 25 rue Manin, 75019 Paris, France
Venue:
Engineering Applications of Artificial Intelligence
Year:
2012

Citing 16
Cited 1

A survey of thresholding techniques

Computer Vision, Graphics, and Image Processing
Fuzzy entropy threshold approach to breast cancer detection

Information Sciences—Applications: An International Journal
Maximum entropy segmentation based on the autocorrelation function of the image histogram

Journal of Computing and Information Technology
Automatic bandwidth selection of fuzzy membership functions

Information Sciences: an International Journal
A fast scheme for optimal thresholding using genetic algorithms

Signal Processing
Optimum Image Thresholding via Class Uncertainty and Region Homogeneity

IEEE Transactions on Pattern Analysis and Machine Intelligence
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 cooperative-comprehensive learning based PSO algorithm for image segmentation using multilevel thresholding

Expert Systems with Applications: An International Journal
The particle swarm - explosion, stability, and convergence in amultidimensional complex space

IEEE Transactions on Evolutionary Computation
Biogeography-Based Optimization

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
Image segmentation by histogram thresholding using fuzzy sets

IEEE Transactions on Image Processing
Supervised range-constrained thresholding

IEEE Transactions on Image Processing

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

Applied Soft Computing

Quantified Score

Hi-index	0.00

Visualization

Abstract

The present paper proposes the development of a three-level thresholding based image segmentation technique for real images obtained from CT scanning of a human head. The proposed method utilizes maximization of fuzzy entropy to determine the optimal thresholds. The optimization problem is solved by employing a very recently proposed population-based optimization technique, called biogeography based optimization (BBO) technique. In this work we have proposed some improvements over the basic BBO technique to implement nonlinear variation of immigration rate and emigration rate with number of species in a habitat. The proposed improved BBO based algorithm and the basic BBO algorithm are implemented for segmentation of fifteen real CT image slices. The results show that the proposed improved BBO variants could perform better than the basic BBO technique as well as genetic algorithm (GA) and particle swarm optimization (PSO) based segmentation of the same images using the principle of maximization of fuzzy entropy.