Fuzzy convolutional approach for pattern recognition

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17310%2F18%3AA1901XOM" target="_blank" >RIV/61988987:17310/18:A1901XOM - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.1063/1.5043705" target="_blank" >http://dx.doi.org/10.1063/1.5043705</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1063/1.5043705" target="_blank" >10.1063/1.5043705</a>

Result language

angličtina

Original language name

Fuzzy convolutional approach for pattern recognition

Original language description

This article explores a novel approach for pattern recognition by Fuzzy Logic Analysis (FLA). Standard FLA approach works with separate pixel information without contextual information that can be obtained from neighbouring parts of the image. Fuzzy convolutional approach extends the original method to the image analysis option based on part of the image defined by the convolutional mask. The article describes initial research on the theoretical background, implementation and experimental results.

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

ISBN

978-073541690-1

ISSN

0094-243X

e-ISSN

—

Number of pages

4

Pages from-to

0600081-0600084

Publisher name

AIP Publishing

Place of publication

New York

Event location

Rhodes, Greece

Event date

Jan 1, 2017

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

000445105400061