Bc. Martin Gargalovič

Bachelor's thesis

Ellipse Detection in Digital Images

Ellipse Detection in Digital Images
Abstract:
Cieľom tejto práce je neimplementovať dve algoritmy na detekciu elíps v 2D digitálnych obrazoch. Metódu používajúcu maticu susedností ktorej autormi sú Cai Meng et al. a metódu používajúcu Line segment detector ktorej autormi sú Changsheng Lu et al. Ďalším cieľom práce je kvantitatívne a kvalitatívne porovnať tieto metódy so zameraním na čas, využitie pamäte a presnosť.
Abstract:
The focus of this thesis is to implement two recently published ellipse detectors based on edge linking, arc adjacency matrix based ellipse detector (AAMBED) [2] and arc support based detector (ASBED) [1] using C++ and utilizing the OpenCV library. Evaluate and mutually compare them on both real and synthetic images, focusing on execu- tion time, accuracy and memory consumption. The results of the …more
 

Keywords

ellipse detection arc adjacency matrix arc support line segments arc segment extraction
 
Language used: English
Date on which the thesis was submitted / produced: 19. 5. 2022
Identifier: https://is.muni.cz/th/q58q7/

Thesis defence

  • Date of defence: 28. 6. 2022
  • Supervisor: doc. RNDr. Martin Maška, Ph.D.
  • Reader: doc. RNDr. David Svoboda, Ph.D.

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Institution archiving the thesis and making it accessible: Masarykova univerzita, Fakulta informatiky
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Masaryk University

Faculty of Informatics

Bachelor programme / field:
Applied Informatics / Applied Informatics

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