A new geometrical fuzzy approach for image contrast enhancement is here presented. Synergy among ascending order statistics and entropy evaluations are exploited to get contrast enhancement by evaluation of distances among points inside fuzzy unit hyper-cube. The obtained results can be considered interesting, especially compared with consolidated techniques which encourages further studies in this direction.

A new geometrical fuzzy approach for image contrast enhancement is here presented. Synergy among ascending order statistics and entropy evaluations are exploited to get contrast enhancement by evaluation of distances among points inside fuzzy unit hyper-cube. The obtained results can be considered interesting, especially compared with consolidated techniques which encourages further studies in this direction.

Image Contrast Ehnancement by Distances Among Points in Fuzzy Hyper-Cubes

M. Versaci;Calcagno S;F. C. Morabito
2015

Abstract

A new geometrical fuzzy approach for image contrast enhancement is here presented. Synergy among ascending order statistics and entropy evaluations are exploited to get contrast enhancement by evaluation of distances among points inside fuzzy unit hyper-cube. The obtained results can be considered interesting, especially compared with consolidated techniques which encourages further studies in this direction.
978-331923116-7
A new geometrical fuzzy approach for image contrast enhancement is here presented. Synergy among ascending order statistics and entropy evaluations are exploited to get contrast enhancement by evaluation of distances among points inside fuzzy unit hyper-cube. The obtained results can be considered interesting, especially compared with consolidated techniques which encourages further studies in this direction.
image contrast enhancement; fuzzy hyper-cubes
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/20.500.12318/10617
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