Abstract
In this paper an extension of the Intuitionistic Fuzzy Image Processing (IFIP) framework from gray-scale to color images is presented. Analysis and synthesis of images into their corresponding intuitionistic fuzzy components is demonstrated using a suitable color model. Additionally, application of the proposed framework to histogram hyperbolization is also shown. Finally, experimental results demonstrate the efficiency of the proposed scheme. © Springer-Verlag Berlin Heidelberg 2007.
Cite
CITATION STYLE
Vlachos, I. K., & Sergiadis, G. D. (2007). Intuitionistic fuzzy histogram hyperbolization for color images. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4578 LNAI, pp. 328–334). Springer Verlag. https://doi.org/10.1007/978-3-540-73400-0_41
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