Bc. Andrej Krejčír

Master's thesis

GPU implementace zobecněného Chan-Vese modelu minimalizovaného pomocí grafových řezů

GPU Implementation of Generalized Chan-Vese Model Minimization Using Graph Cuts
Abstract:
Cieľom tejto práce je implementovať a vyhodnotiť zovšeobecnený Chan-Vese model pre segmentáciu obrazu, minimalizovaný pomocou grafových rezov na GPU. Zovšeobecnenie je založené ma použití polynomiálneho modelu regiónov namiesto konštantných intenzít. Práca vysvetľuje detaily modelu a jeho implementácie. Presnosť výsledkov je porovnaná s pôvodným Chan-Vese modelom. Implementovaná GPU metóda pre nájdenie …more
Abstract:
The aim of this thesis is to implement and evaluate a generalized Chan-Vese model for image segmentation, which is minimized using graph-cuts on the GPU. It is generalized by using polynomial region models instead of a constant function. The details of the model and the implementation are explained. The accuracy of results is compared to the original Chan-Vese model, and the performance and memory …more
 

Keywords

Image Segmentation Chan-Vese Model Minimum Graph-Cut Push-Relabel Polynomial Least-Squares GPU
 
Language used: English
Date on which the thesis was submitted / produced: 4. 1. 2017
Identifier: https://is.muni.cz/th/sw5v1/

Thesis defence

  • Date of defence: 9. 2. 2017
  • Supervisor: RNDr. Martin Maška, Ph.D.
  • Reader: doc. RNDr. Pavel Matula, 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

Master programme / field:
Informatics / Computer Graphics

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