Continuity detection method in binary image signal

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F20%3A10246801" target="_blank" >RIV/61989100:27240/20:10246801 - isvavai.cz</a>

Výsledek na webu

<a href="https://eejournal.ktu.lt/index.php/elt/article/view/25770" target="_blank" >https://eejournal.ktu.lt/index.php/elt/article/view/25770</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.5755/j01.eie.26.6.25770" target="_blank" >10.5755/j01.eie.26.6.25770</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Continuity detection method in binary image signal

Popis výsledku v původním jazyce

This paper is focused on a description of a new method of detecting continuities in a binary image. The detecting method is called &quot;Binary Large Object&quot; (BLOB). A new algorithm with other elementary parameters, as processing speed and memory capability, are described here. The developed BLOB method with described algorithms is implemented in MATLAB. The simulation of the algorithms is tested in different conditions, with the time dependences determination. The research results of the computing time or the BLOB memory demand during computation are presented as well. The developed BLOB method is usable as one of the elementary image processing methods of the field detection dependencies in the images, like pattern recognition or OCR algorithm.

Název v anglickém jazyce

Continuity detection method in binary image signal

Popis výsledku anglicky

This paper is focused on a description of a new method of detecting continuities in a binary image. The detecting method is called &quot;Binary Large Object&quot; (BLOB). A new algorithm with other elementary parameters, as processing speed and memory capability, are described here. The developed BLOB method with described algorithms is implemented in MATLAB. The simulation of the algorithms is tested in different conditions, with the time dependences determination. The research results of the computing time or the BLOB memory demand during computation are presented as well. The developed BLOB method is usable as one of the elementary image processing methods of the field detection dependencies in the images, like pattern recognition or OCR algorithm.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

20205 - Automation and control systems

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2020

Kód důvěrnosti údajů

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

Název periodika

Elektronika ir elektrotechnika

ISSN

1392-1215

e-ISSN

—

Svazek periodika

26

Číslo periodika v rámci svazku

6

Stát vydavatele periodika

LT - Litevská republika

Počet stran výsledku

6

Strana od-do

4-9

Kód UT WoS článku

000604932300001

EID výsledku v databázi Scopus

2-s2.0-85098161312