Convolutional generalization of fuzzy logic analysis

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17310%2F18%3AA2101VYB" target="_blank" >RIV/61988987:17310/18:A2101VYB - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.1063/1.5079070" target="_blank" >http://dx.doi.org/10.1063/1.5079070</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1063/1.5079070" target="_blank" >10.1063/1.5079070</a>

Result language

angličtina

Original language name

Convolutional generalization of fuzzy logic analysis

Original language description

This article focuses on the theoretical background for the use of a convolution kernels for the purposes of patternrecognition by Fuzzy Logic Analysis (FLA). The fuzzy convolutional approach is a generalization of standard FLA. The standardFLA is based on comparing part of the image with adequate parts of its pattern where each part of the image is representedby a individual pixel. The Fuzzy convolutional approach extends original FLA using convolutional kernels that allow to includeinformation from neighbouring parts of the recognized image.

Czech name

—

Czech description

—

Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

10200 - Computer and information sciences

Project

—

Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2018

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

AIP Conference Proceedings 2040

ISBN

978-073541766-3

ISSN

0094-243X

e-ISSN

—

Number of pages

4

Pages from-to

0300071-0300074

Publisher name

AIP Publishing Inc.

Place of publication

MELVILLE, NY USA

Event location

Rhodes, Greece

Event date

Jan 1, 2018

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

000467966400026