Abstract
The article summarizes current approaches to image fusion problem using fuzzy transformation (F-transform) with their weak points and proposes improved version of the algorithm which suppress them. The first part of this contribution brings brief theoretical introduction into problem domain. Next part analyses weak points of current implementations. Last part introduces improved algorithm and compares it with the previous ones.
This work was supported by the European Regional Development Fund in the IT4Innovations Centre of Excellence project (CZ.1.05/1.1.00/02.0070). This work was also supported by SGS14/PF/2013 project and ”SGS/PF/2014 – Výzkum a aplikace technik soft-computingu ve zpracování obrazu” project.
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
Blum, R.S.: Robust image fusion using a statistical signal processing approach. Information Fusion 6(2), 119–128 (2005)
Loza, A., Bull, D., Canagarajah, N., Achim, A.: Non-gaussian model-based fusion of noisy images in the wavelet domain. Computer Vision and Image Understanding 114(1), 54–65 (2010)
Singh, H., Raj, J., Kaur, G., Meitzler, T.: Image fusion using fuzzy logic and applications. In: Proceedings of the 2004 IEEE International Conference on Fuzzy Systems, vol. 1, pp. 337–340 (2004)
Ranjan, R., Singh, H., Meitzler, T., Gerhart, G.: Iterative image fusion technique using fuzzy and neuro fuzzy logic and applications. In: Annual Meeting of the North American Fuzzy Information Processing Society, NAFIPS 2005, pp. 706–710 (2005)
Mumtaz, A., Majid, A.: Genetic algorithms and its application to image fusion. In: 4th International Conference on Emerging Technologies, ICET 2008, pp. 6–10 (2008)
Perfilieva, I.: Fuzzy transforms: Theory and applications. Fuzzy Sets and Systems 157, 993–1023 (2006)
Perfilieva, I.: Fuzzy transforms: A challenge to conventional transforms. In: Hawkes, P.W. (ed.) Advances in Images and Electron Physics, vol. 147, pp. 137–196. Elsevier Academic Press, San Diego (2007)
Perfilieva, I., Daňková, M.: Image fusion on the basis of fuzzy transforms. In: Proc. 8th Int. FLINS Conf., Madrid, pp. 471–476 (2008)
Perfilieva, I., Daňková, M., Hodáková, P., Vajgl, M.: The Use of F-Transform for Image Fusion Algorithms. In: Proc. Intern. Conf. of Soft Computing and Pattern Recognition, SoCPaR 2010, pp. 472–477 (2010)
Hodáková, P., Perfilieva, I., Daňková, M., Vajgl, M.: F-transform based image fusion. In: Ukimura, O. (ed.) Image Fusion, pp. 3–22. InTech (2011), http://www.intechopen.com/articles/show/title/f-transform-based-image-fusion
Perfilieva, I., Pavliska, V., Vajgl, M., De Baets, B.: Advanced image compression on the basis of fuzzy transforms. In: Proc. Conf. IPMU 2008, Torremolinos, Malaga, Spain, pp. 1167–1174 (2008)
Perfilieva, I., Hodáková, P., Hurtík, P.: F 1-transform Edge Detector Inspired by Canny’s Algorithm. In: Greco, S., Bouchon-Meunier, B., Coletti, G., Fedrizzi, M., Matarazzo, B., Yager, R.R. (eds.) IPMU 2012, Part I. CCIS, vol. 297, pp. 230–239. Springer, Heidelberg (2012)
Perfiljeva, I., Vlasanek, P., Wrublova, M.: Fuzzy transform for image reconstruction. In: Uncertainty Modeling in Knowledge Engineering and Decision Making, pp. 615–620. World Scientific, Singapore (2012) ISBN 978-987-4417-73-0
Prefiljeva, I., Vajgl, M.: Novel Image Fusion Based on F-transform. In: 2nd World Conference on Soft Computing Proceedings, pp. 165–171. Letterpress Publishing House (2012) ISBN 9789952452372
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Vajgl, M., Perfilieva, I. (2014). Improved F-transform Based Image Fusion. In: Laurent, A., Strauss, O., Bouchon-Meunier, B., Yager, R.R. (eds) Information Processing and Management of Uncertainty in Knowledge-Based Systems. IPMU 2014. Communications in Computer and Information Science, vol 443. Springer, Cham. https://doi.org/10.1007/978-3-319-08855-6_16
Download citation
DOI: https://doi.org/10.1007/978-3-319-08855-6_16
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-08854-9
Online ISBN: 978-3-319-08855-6
eBook Packages: Computer ScienceComputer Science (R0)