Abstract
In this paper, we present an application of three heuristic optimization algorithms to computing tree-based image dissimilarity. Genetic algorithm, particle swarm optimization and simulated annealing have been applied to optimize a blackbox function which aims to determine a difference between two trees, constructed upon binary images. Presented results show that the particle swarm optimization achieved the best results. Both PSO and the simulated annealing outperformed the genetic algorithm. We also draw conclusions on parameter adjustment for the considered methods.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
MPEG7 CE Shape-1 Part B, http://imageprocessingplace.com/downloads_V3/root_downloads/image_databases/MPEG7_CE-Shape-1_Part_B.zip (accessed in January 2013)
Cerny, V.: Thermodynamical approach to the traveling salesman problem: An efficient simulation algorithm. Journal of Optimization Theory and Applications (1985)
Clerc, M., Kennedy, J.: The particle swarm—explosion, stability, and convergence in a multidimensional complex space. IEEE Transactions on Evolutionary Computation (2002)
Eberhart, R., Shi, Y.: Comparing inertia weights and constriction factors in particle swarm optimization. In: Proceedings of the, Congress on Evolutionary Computation (2000)
Goldberg, D.: Genetic Algorithms in Search, Optimization and Machine Learning. Addison-Wesley Longman Publishing Co., Inc., Boston (1989)
Holland, J.: Adaptation in Natural and Artificial Systems. University of Michigan Press (1975)
Kaufman, L., Rousseeuw, P.: Finding Groups in Data: An Introduction to Cluster Analysis. Wiley–Interscience, New York (1990)
Kennedy, J., Eberhart, R.: Particle swarm optimization. In: Proceedings of IEEE International Conference on Neural Networks (1995)
Kirkpatrick, S., Gelatt, C., Vecchi, M.: Optimization by simulated annealing. Science (1983)
MacQueen, J.: Some Methods for Classification and Analysis of Multivariate Observations. In: Fifth Berkeley Symposium on Mathematical Statistics and Probability (1967)
Michalewicz, Z.: Genetic algorithms + data structures = evolution programs. Springer, London (1996)
Serra, J.: Image Analysis and Mathematical Morphology. Academic Press, London (1982)
Shi, Y., Eberhart, R.: Empirical study of particle swarm optimization. In: Proceedings of the 1999 Congress on Evolutionary Computation (1999)
Steinhaus, H.: Sur la Division des Corps Materiéls en Parties. Bull. Acad. Polon. Sci., C1. III (1956)
Zieliński, B., Iwanowski, M.: Binary Image Comparison with Use of Tree-Based Approach. Springer, Heidelberg (2013)
Zieliński, B., Iwanowski, M.: Comparing Image Objects Using Tree-Based Approach. Springer, Heidelberg (2012)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer International Publishing Switzerland
About this paper
Cite this paper
Zieliński, B., Iwanowski, M. (2013). Heuristic Optimization Algorithms for a Tree-Based Image Dissimilarity Measure. In: Burduk, R., Jackowski, K., Kurzynski, M., Wozniak, M., Zolnierek, A. (eds) Proceedings of the 8th International Conference on Computer Recognition Systems CORES 2013. Advances in Intelligent Systems and Computing, vol 226. Springer, Heidelberg. https://doi.org/10.1007/978-3-319-00969-8_9
Download citation
DOI: https://doi.org/10.1007/978-3-319-00969-8_9
Publisher Name: Springer, Heidelberg
Print ISBN: 978-3-319-00968-1
Online ISBN: 978-3-319-00969-8
eBook Packages: EngineeringEngineering (R0)