This paper proposes a new interpolation filter for deinterlacing, which is achievedby enhancing the edge preserving ability of the conventional edge-based line average methods. This filter consists of three steps: pre-processing step, fuzzy metric-based weight assignation step, and rank-ordered marginal filter step. The proposed method is able to interpolate the missing lines without introducin...

One of the most significant challenges in mobile robotics are found in the autonomous navigation area, where the robot must be able to feel and act in an uncertain and geometrically restricted environment, without suffering any type of external interference. The development of an architecture that allows the autonomous navigation arises as a unique combination of issues such as perception, loca...

In this study, polynomial-based radial basis function neural networks are proposed as one of the functional components of the overall face recognition system. The system consists of the preprocessing and recognition module. The design methodology and resulting procedure of the proposed P-RBF NNs are presented. The structure helps construct a solution to high-dimensional pattern recognition prob...

Abstract We develop filtered-graded techniques for algebras in monoidal categories with the main goal of establishing a categorical version Bongale’s 1967 result: filtered deformation Frobenius algebra over field is as well. Toward goal, we first construct associated graded functor, building on prior works Ardizzoni and Menini, Galatius et al., Gwillian Pavlov. Next, produce equivalent conditio...

We propose a fuzzy logic recursive scheme for motion detection and spatiotemporal filtering that can deal with the Gaussian noise and unsteady illumination conditions in both the temporal and spatial directions. Our focus is on applications concerning tracking and denoising of image sequences. We process an input noisy sequence with fuzzy logic motion detection to determine the degree of motion...

This paper is based on the research on Human Brain Tumor which uses the MRI imaging technique to capture the image. In this proposed work Brain Tumor area is calculated to define the Stage or level of seriousness of the tumor. Image Processing techniques are used for the brain tumor area calculation and Neural Network algorithms for the tumor position calculation. Also in the further advancemen...

In this paper, we introduce the notion of an action $Y_X$as a generalization of the notion of a module,and the notion of a norm $vt: Y_Xto F$, where $F$ is a field and $vartriangle(xy)vartriangle(y') =$ $ vartriangle(y)vartriangle(xy')$ as well as the notion of fuzzy norm, where $vt: Y_Xto [0, 1]subseteq {bf R}$, with $bf R$  the set of all real numbers. A great many standard mappings on algebr...