Detection of Directions in an Image as a Method for Circle Detection

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F18%3A10241576" target="_blank" >RIV/61989100:27240/18:10241576 - isvavai.cz</a>

Výsledek na webu

<a href="https://www.sciencedirect.com/science/article/pii/S240589631830853X?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/pii/S240589631830853X?via%3Dihub</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.ifacol.2018.07.109" target="_blank" >10.1016/j.ifacol.2018.07.109</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Detection of Directions in an Image as a Method for Circle Detection

Popis výsledku v původním jazyce

This article presents an analysis of methods used for circle detection in an image along with a description of the newly proposed method of circle detection in a pre-processed image based on trigonometric functions so that the algorithm itself is feasible for low-power digital measuring systems. The method is based on the use of significant points found in the object that are connected with a line for which directions are calculated using the algorithm. From the information thus obtained, the geometric centre of the object can be determined using the algorithm. The developed method is compared with the classical method of detecting circles in an image using Hough transforms. Finally, the test results are stated in the article. (C) 2018

Název v anglickém jazyce

Detection of Directions in an Image as a Method for Circle Detection

Popis výsledku anglicky

This article presents an analysis of methods used for circle detection in an image along with a description of the newly proposed method of circle detection in a pre-processed image based on trigonometric functions so that the algorithm itself is feasible for low-power digital measuring systems. The method is based on the use of significant points found in the object that are connected with a line for which directions are calculated using the algorithm. From the information thus obtained, the geometric centre of the object can be determined using the algorithm. The developed method is compared with the classical method of detecting circles in an image using Hough transforms. Finally, the test results are stated in the article. (C) 2018

Druh

J_SC - Článek v periodiku v databázi SCOPUS

CEP obor

—

OECD FORD obor

20201 - Electrical and electronic engineering

Projekt

<a href="/cs/project/EF16_019%2F0000867" target="_blank" >EF16_019/0000867: Centrum výzkumu pokročilých mechatronických systémů</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

2018

Kód důvěrnosti údajů

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

Název periodika

IFAC-PapersOnLine. Volume 51

ISSN

2405-8963

e-ISSN

—

Svazek periodika

51

Číslo periodika v rámci svazku

6

Stát vydavatele periodika

NL - Nizozemsko

Počet stran výsledku

6

Strana od-do

496-501

Kód UT WoS článku

000445644900084

EID výsledku v databázi Scopus

2-s2.0-85052894881