Fuzzy lattice and function approximation in image processing
by Sasi Gopalan; C. Sheela; Madhu S. Nair; Souriar Sebastian
International Journal of Intelligent Systems Technologies and Applications (IJISTA), Vol. 10, No. 4, 2011

Abstract: Lattice theory plays a key role in image processing with the help of isomorphic fuzzy lattices. The fuzzy lattice L is considered and all its properties are transformed. The fuzzy measure induces entropy and it is defined by means of isotone valuation. For the minimisation process in image enhancement problem the three parameters such as intensification parameter (t), the crossover approximation fuzzy point (C(x,l)) and the fuzzyfier (f_h) are considered. In this study the function approximation in image enhancement is obtained at a fuzzy crossover point.

Online publication date: Sun, 19-Feb-2012

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