Results 11 to 20 of about 424,766 (266)
Why Use a Fuzzy Partition in F-Transform? [PDF]
Axioms, 2019 In many application problems, F-transform algorithms are very efficient. In F-transform techniques, we replace the original signal or image with a finite number of weighted averages.
Vladik Kreinovich +2 more
doaj +3 more sources
Advanced F-Transform-Based Image Fusion [PDF]
Advances in Fuzzy Systems, 2012 We propose to use the modern technique of the F-transform in order to show that it can be successfully applied to the image fusion. We remind two working algorithms (SA—the simple algorithm, and CA—the complete algorithm) which are based on the F ...
Marek Vajgl +2 more
doaj +2 more sources
F-transform and discrete convolution [PDF]
Advances in Intelligent Systems Research, 2015 Discrete convolution is commonly used operation in the image processing field. The technique modifies an input image in various ways by scalable and easy computation. We are able to achieve many applications such as edge detection, noise reduction or artistic filtering, by selection of the proper kernel. The technique of the F-transform investigated in
Pavel Vlasánek, Irina Perfilieva
openaire +2 more sources
A general quantum Laplace transform
Advances in Difference Equations, 2020 In this paper, we introduce a general quantum Laplace transform L β $\mathcal{L}_{\beta }$ and some of its properties associated with the general quantum difference operator D β f ( t ) = ( f ( β ( t ) ) − f ( t ) ) / ( β ( t ) − t ) ${D}_{\beta }f(t)= ({
Enas M. Shehata +2 more
doaj +1 more source
Granular F-transform and its application
CoRR, 2022 This contribution introduces the concept of granular F-transform and investigates its basic properties by using the theory of fuzzy numbers and horizontal membership functions. Further, we present a numerical method based on granular F-transform to solve a fuzzy prey-predator model consisting of two prey and one predator due to its natural variability ...
Abha Tripathi +2 more
openaire +2 more sources
A Summary of F-Transform Techniques in Data Analysis [PDF]
Electronics, 2021 Fuzzy transform is a technique applied to approximate a function of one or more variables applied by researchers in various image and data analysis. In this work we present a summary of a fuzzy transform method proposed in recent years in different data mining disciplines, such as the detection of relationships between features and the extraction of ...
Martino, Ferdinando Di +2 more
openaire +3 more sources
F-Transform Inspired Weak Solution to a Boundary Value Problem
Axioms, 2019 We propose and show efficiency of a new fuzzy-transform-based numerical method of solving ordinary differential equations with boundary conditions. The focus is on weak solutions and a special construction of a two-parameterized family of test functions.
Linh Nguyen +2 more
doaj +1 more source
Local versions of the Wiener–Lévy theorem
Математичні Студії, 2022 Let $h$ be a real-analytic function on the neighborhood of some compact set $K$ on the plane, and let $f(y)$ be the Fourier--Stieltjes transform of a complex measure of a finite total variation without singular components on the Euclidean space.
S. Yu. Favorov
doaj +1 more source
A Seneta's Conjecture and the Williamson Transform [PDF]
Sahand Communications in Mathematical Analysis, 2023 Considering slowly varying functions (SVF), %Seneta (2019) Seneta in 2019 conjectured the following implication, for $\alpha\geq1$,$$\int_0^x y^{\alpha-1}(1-F(y))dy\textrm{\ is SVF}\ \Rightarrow\ \int_{0}^x y^{\alpha}dF(y)\textrm{\ is SVF, as $x\to\infty$
Edward Omey, Meitner Cadena
doaj +1 more source
Swarm and Evolutionary Algorithms in Image Compression by F-Transform
IEEE Access, 2023 This article investigates the application of swarm and evolutionary algorithms, namely the SOMA, DE, and GA, for optimizing the F-transform-based image compression.
Nguyen Le Toan Nhat Linh, Quoc Bao Diep
doaj +1 more source