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.
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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
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DOI: https://doi.org/10.1007/978-3-319-08855-6_16
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