No-reference image quality assessment needs no prior knowledge of reference image. A new fuzzy image quality measure (built from interval type-2 fuzzy sets (IFS2)) is compared with experimental psycho-visual data. The proposed measure is based on IFS2 entropy applied on synthetic images. A recently performed psycho-visual experiment provides psycho-visual scores on some synthetic images, and co...

In this paper, we present a novel algorithm for adaptive fuzzy segmentation of MRI data and estimation of intensity inhomogeneities using fuzzy logic. MRI intensity inhomogeneities can be attributed to imperfections in the RF coils or some problems associated with the acquisition sequences. The result is a slowly-varying shading artifact over the image that can produce errors with conventional ...

Irrevocability is one major issue in existing bio-cryptosystems. In this paper, we proposed a cancellable bio-cryptosystem by taking the full advantage of cancellable and non-invertible properties of bio-hashing biometrics. Specifically, two transformed templates are generated by using the bio-hashing algorithm and applied into two different secure sketches, fuzzy commitment sketch and fuzzy va...

— We present a compiler and object query system for Fril++, an object-oriented logic programming language incorporating fuzzy sets and support logic. Based on Fril, the fuzzy relational inference language, Fril++ provides extensions to support full object-oriented programming in a soft computing logic programming environment. We present the design implications of Fril++, with special emphasis o...

Habilitation Commission this selection can be a useful indicator of the areas that will constitute the future research trends. The second detailed work concerns a layered fuzzy facial expression generation of a virtual agent. In this model, social, emotional and physiological layers contribute to the fuzzy facial expression generation. 3D biometrics. In the first work, using combined skeletal t...

This paper develops a new direct model reference fuzzy adaptive control of SISO continuous-time nonlinear systems. The model following conditions are assured by using an adaptive Takagi-Sugeno (TS) fuzzy system as nonlinear state feedback controller. Both full state information and observer-based control schemes are investigated. It is shown, that the proposed control algorithm guarantees the s...

* Correspondence: [email protected] School of Computer & Systems Sciences, Jawaharlal Nehru University, New Delhi 110 067, India Full list of author information is available at the end of the article Abstract In this article, we utilize the notions of the property (E.A.) and common property (E. A.) in the setting of modified intuitionistic fuzzy metric spaces to prove a result interrela...

In this paper we propose a new method for classifying uncertain data, modeled as interval-valued fuzzy sets. We develop the notion of an interval-valued prototype-based fuzzy classifier, with the idea of preserving full information including the uncertainty factor about data during the classification process. To this end, the classifier was based on the uncertainty-aware similarity measure, a n...

This paper presents a multistage random sampling fuzzy c-means based clustering algorithm, which signi cantly reduces the computation time required to partition a data set into c classes. A series of subsets of the full data set are used for classi cation in order to provide an approximation to the nal cluster centers. The quality of the nal partitions is equivalent to that of fuzzy c-means. Th...