Quantum Behaved Multi-objective PSO and ACO Optimization for Multi-level Thresholding
- 1 November 2014
- conference paper
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE) in 2014 International Conference on Computational Intelligence and Communication Networks
- p. 242-246
- https://doi.org/10.1109/cicn.2014.63
Abstract
In this paper, two quantum behaved multi-objective optimization techniques, based on Binary Particle Swarm Optimization and Ant Colony Optimization, have been introduced. The proposed approaches are used to search optimal threshold values of gray scale images, by optimizing the non-dominated solutions using Li's method as objective function. These approaches coalesce the meta-heuristic algorithms with the intrinsic features of quantum theory to make the techniques more effective. The best fitness values, the set of optimal thresholds and the computation times at different level of thresholding have been reported both for the proposed techniques and their equivalent classical counterparts. The superiority of the techniques presented in this paper, are established in terms of computational time. Thereafter, the mean fitness and the standard deviation of the objective values prove that the proposed techniques are more effectual of than others. Finally, the performance of each technique has been evaluated by determining the PSNR values of the test images. It was found that the proposed techniques have better PSNR values as compared to their corresponding components. Hence, quality of thresholding is established in favour of the proposed techniques.Keywords
This publication has 13 references indexed in Scilit:
- Multi-level thresholding using quantum inspired meta-heuristicsKnowledge-Based Systems, 2014
- Quantum inspired genetic algorithm and particle swarm optimization using chaotic map model based interference for gray level image thresholdingSwarm and Evolutionary Computation, 2014
- New Quantum Inspired Tabu Search for Multi-level Colour Image thresholdingPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2014
- An Efficient Quantum Inspired Genetic Algorithm with Chaotic Map Model Based Interference and Fuzzy Objective Function for Gray Level Image ThresholdingPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2011
- Determination of optimal threshold of a gray-level image using a quantum inspired genetic algorithm with interference based on a random map modelPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2010
- Survey over image thresholding techniques and quantitative performance evaluationJournal of Electronic Imaging, 2004
- Metaheuristics in combinatorial optimizationACM Computing Surveys, 2003
- Polynomial-Time Algorithms for Prime Factorization and Discrete Logarithms on a Quantum ComputerSIAM Journal on Computing, 1997
- Quantifying EntanglementPhysical Review Letters, 1997
- Minimum cross entropy thresholdingPattern Recognition, 1993