Sensitivity analysis for image represented by fuzzy function

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17610%2F19%3AA2001ROF" target="_blank" >RIV/61988987:17610/19:A2001ROF - isvavai.cz</a>

Výsledek na webu

<a href="https://link.springer.com/article/10.1007/s00500-018-3402-8" target="_blank" >https://link.springer.com/article/10.1007/s00500-018-3402-8</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/s00500-018-3402-8" target="_blank" >10.1007/s00500-018-3402-8</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Sensitivity analysis for image represented by fuzzy function

Popis výsledku v původním jazyce

The standard image representation can be considered as obsolete in image processing area since it was designed mainly to visualize images and not to support image processing algorithms. For that reason, seeking alternative image representations becomes an important issue. This paper focuses on images represented by means of fuzzy functions (so-called fuzzy images) and investigates its sensibility under arbitrary distortions. Then, it shows that this fuzzy representation is less sensitive to distortions than the raster image representation. Finally, it also shows the impact on a practical image processing task, where the fuzzy representation has achieved significantly better results.

Název v anglickém jazyce

Sensitivity analysis for image represented by fuzzy function

Popis výsledku anglicky

The standard image representation can be considered as obsolete in image processing area since it was designed mainly to visualize images and not to support image processing algorithms. For that reason, seeking alternative image representations becomes an important issue. This paper focuses on images represented by means of fuzzy functions (so-called fuzzy images) and investigates its sensibility under arbitrary distortions. Then, it shows that this fuzzy representation is less sensitive to distortions than the raster image representation. Finally, it also shows the impact on a practical image processing task, where the fuzzy representation has achieved significantly better results.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10102 - Applied mathematics

Projekt

<a href="/cs/project/LQ1602" target="_blank" >LQ1602: IT4Innovations excellence in science</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2019

Kód důvěrnosti údajů

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

Název periodika

SOFT COMPUT

ISSN

1432-7643

e-ISSN

—

Svazek periodika

23

Číslo periodika v rámci svazku

6

Stát vydavatele periodika

DE - Spolková republika Německo

Počet stran výsledku

13

Strana od-do

1795-1807

Kód UT WoS článku

000459903300003

EID výsledku v databázi Scopus

2-s2.0-85050271055