This paper presents a hybrid filter for denoising and enhancing digital image in situation where the image is corrupted by salt and pepper noise. Image denoising and enhancement are important preprocessing and post processing steps in image analysis. Successful results of image analysis extremely depend on image enhancement. There are several filters have been illustrated till date. But they ar...

In this paper, we present a novel method for the removal of impulse noise from digital color images. The proposed filter, called the First Order Difference based Fuzzy Filter. It operates in two stages detection of impulse noise and prediction of noise density using alpha trimmed mean followed by denoising, using first order difference and fuzzy filter .Experimental results demonstrate to be su...

In this paper presents a new algorithm fuzzy based median filter (FBMF) to remove low and high density salt and pepper noise in gray scale Images. Proposed algorithm replaces the noisy pixel by median value when 0’s, 255’s and other pixel values are present in the selected window and when all pixel values are either 0’s or 255’s, or combination of these, then the noise pixel is replaced by fuzz...

This article presents a novel fuzzy–logic based multi-sensor data fusion algorithm for combining heading estimates from three separate weighted interval Kalman filters to construct a robust, fault-tolerant heading estimator for the navigation of the Springer autonomous surface vehicle. A single, low-cost gyroscopic unit and three independent compasses are used to acquire data onboard the vehicl...

This paper investigates a fuzzy reduced-order filter design for class of nonlinear partial differential equation (PDE) systems. First, Takagi-Sugeno (T-S) model is considered to reconstruct the PDE system. Then, employment an event-triggered mechanism (ETM) can effectively avoid signal redundancy and improve network resource utilization. Furthermore, based on advantages ETM, several Lyapunov fu...

By applying the concept of Lukasiewicz fuzzy set to BE-algebras, notions BE-algebra and BE-filter are introduced, their properties investigated. Characterizations discussed, relationship between (resp., BE-filter) is established. The conditions for ∈-set, q-set O-set be BE-subalgebras explored. created by using BE-filter.

Due to the advancement in power electronic equipments and increase in the usage of non-linear loads in power distribution system, the undesirable harmonics are introduced that degrade the quality of power. Presence of harmonics are always detrimental to power system that results in irreversible failure of electrical components, sometimes apart from frequently known heating issues in it. There a...

A dialogue game based approach to the problem of providing a deeper semantic foundation for t-norm based fuzzy logics is explored. In particular, various versions, extensions and alternatives to Robin Giles’s dialogue and betting game for Lukasiewicz logic are re-visited and put in the context of other foundational research in logic. It emerges that dialogue games cover a wide range of topics r...

A particle filter is a powerful tool for object tracking based on sequential Monte Carlo methods under a Bayesian estimation framework. A major challenge for a particle filter in object tracking is how to allocate particles to a high-probability density area. A particle filter does not take into account the historical prior information on the generation of the proposal distribution and, thus, i...