Application of Fuzzy Sets Theory to Image Processing.

Fuzzy sets for image processing and understanding

This paper proposes a short overview of models and methods based on fuzzy sets for image processing and image understanding, from low level to higher level interpretation. Recent trends are highlighted. © 2015 Elsevier B.V. All rights reserved.

Application of Fuzzy Sets in Lattice Theory

Bifurcating fuzzy sets: Theory and application

To overcome the complexities in Type-2 Fuzzy Sets (T2FSs) and to present a general model for chaotic FSs, this paper introduces new FSs called Bifurcating FSs (BFSs). The BFS is inspired from human brain. Mathematically, it is equivalent to the coupled chaotic map in which one of the variables is a fuzzy membership function. Biologically, it is equivalent to the oscillatory neuron in which a fu...

Fuzzy Relational Calculus and Its Application to Image Processing

Vito Di Gesù University of Palermo, Italy Sankar Kumar Pal Indian Statistical Institute, Kolkata, India Alfredo Petrosino University of Naples Parthenope, Italy Scientific Program Committee: Sanghamitra Bandyopadhyay Indian Statistical Institute, Kolkata, India Jim Bezdek University of West Florida, Pensacola, USA Isabelle Bloch ENST-CNRS, Paris, France Piero Bonissone GE CRD, Schenectady, USA ...

Opposite Fuzzy Sets with Applications in Image Processing

Diverse forms of the concept of opposition are already existent in philosophy, linguistics, psychology and physics. The interplay between entities and opposite entities is apparently fundamental for balance maintenance in almost a universal manner. However, it seems that we have failed to incorporate oppositional thinking in engineering, mathematics and computer science. Especially, the set the...