Comparison study of image segmentation techniques by curvature-driven flow of graphs

Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21340%2F21%3A00357650" target="_blank" >RIV/68407700:21340/21:00357650 - isvavai.cz</a>
Výsledek na webu
<a href="https://doi.org/10.14495/jsiaml.13.48" target="_blank" >https://doi.org/10.14495/jsiaml.13.48</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.14495/jsiaml.13.48" target="_blank" >10.14495/jsiaml.13.48</a>

Jazyk výsledku
angličtina
Název v původním jazyce
Comparison study of image segmentation techniques by curvature-driven flow of graphs
Popis výsledku v původním jazyce
In this paper, we deal with image segmentation by a curvature-driven flow of graphs. We focus on images, where the segmented objects can be represented by 1D graphs of functions. Compared to the usual direct approach, such a description benefits from certain advantages. Three methods to image segmentation are discussed and applied in terms of the graph formulation. Then, all methods are compared in the qualitative computational study.
Název v anglickém jazyce
Comparison study of image segmentation techniques by curvature-driven flow of graphs
Popis výsledku anglicky
In this paper, we deal with image segmentation by a curvature-driven flow of graphs. We focus on images, where the segmented objects can be represented by 1D graphs of functions. Compared to the usual direct approach, such a description benefits from certain advantages. Three methods to image segmentation are discussed and applied in terms of the graph formulation. Then, all methods are compared in the qualitative computational study.

Rok uplatnění
2021
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Podobné výsledky(10)