Nonlinear Adaptive Noise Cancellation for 2-D Signals with Adaptive Neuro-Fuzzy Inference Systems Hao Qin Advisor: University of Guelph, 2004 Professor Simon X. Yang Neuro-fuzzy systems are capable of inducing rules from observations, where the adaptive neuro-fuzzy inference system (ANFIS) is an effective method that can be applied to a variety of domains such as pattern recognition, robotics, ...

This paper addresses the problem of robust filtering in color images. We propose to improve the bilateral filter by using Ordered Weighted Averaging (OWA) filters. Bilateral filter decreases amount of noise preserving edges when filtering. But the results could be strongly affected by the presence of outliers. In this paper, we define the filtering in the framework of fuzzy logic. If the filter...

Artificial Color is simply biomimetic spectral sensing and processing to achieve spectral discrimination. Using Artificial Color means to construct image plane filters; we can then perform logic operations on those filters before applying them to scenes. Boolean and fuzzy logic can both be used. We illustrate the concept by the Boolean AND of two such masks applied to a complex scene. 2003 Else...

In this paper, we study the relations (L, )-fuzzy topologies and (L, )-filters on strictly two-sided, commutative quantale lattices (L, ) and (L, ∗). Mathematics Subject Classification: 03E72, 54A40, 54B10

In this paper, we study (L, )-fuzzy topologies induced by operations and (L, )-filters on strictly two-sided, commutative quantale lattices (L, ) and (L, ∗). Mathematics Subject Classification: 03E72, 54A40, 54B10

DWM (Directional weighted median) filter is very popular in filtering digital image and remove mixed noise. Fuzzy logic implemented with median filters to improve its performance. In the previous work, fuzzy system switching gives better performance than directional as well filter. Experimenting same didn’t yield results therefore parameters has been changes per strong points of a constant incl...

A lot of tools have been developed to personalize content on the web. And filtering techniques like content based and context filters get the proper information to users. Information captured in user profiles have certain degree of imprecision and uncertainty. Fuzzy logic provides a means to overcome this short coming. This paper proposes a means to use Fuzzy Linguistic variables in user profil...

Bounded residuated lattice ordered monoids (R -monoids) are a common generalization of pseudo-BL-algebras and Heyting algebras, i.e. algebras of the non-commutative basic fuzzy logic (and consequently of the basic fuzzy logic, the Łukasiewicz logic and the non-commutative Łukasiewicz logic) and the intuitionistic logic, respectively. In the paper we introduce and study classes of filters of bou...

This paper investigates the implementation of three variations of fuzzy logic based Kalman filters namely centralized, decentralized and federated. These fuzzy logic adaptive Kalman filter (FLA-KF) algorithms are implemented in an unmanned surface vehicle (USV) application. Simulation results demonstrate the algorithms’ capabilities under different types of sensor faults and the results are com...

In this work a novel Multi-Sensor Data Fusion (MSDF) architecture with fault tolerant characteristics is proposed. This MSDF architecture is based on Kalman filtering and fuzzy logic techniques. First, the measurement coming from each sensor is fed to a fuzzy–adapted Kalman filter (FKF). The adaptation is in the sense of adjusting the measurement noise covariance matrix R using a fuzzy inferenc...