Affiliation possibility map filtering for image segmentation improvement

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F14%3A86096802" target="_blank" >RIV/61989100:27240/14:86096802 - isvavai.cz</a>

Výsledek na webu

<a href="http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7001933&tag=1" target="_blank" >http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7001933&tag=1</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/IPTA.2014.7001933" target="_blank" >10.1109/IPTA.2014.7001933</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Affiliation possibility map filtering for image segmentation improvement

Popis výsledku v původním jazyce

Image segmentation is an important task in computer vision. The task of image segmentation is to portion image into segments, thus provide more meaningful information of the image contents. Many methods have been developed for numerous application. The common problems of most of the segmentation techniques are scattered segmentation lines, too much details, small or thin segments, and noisy segmentation. In this paper, we propose a novel method for image segmentation improvement. We present state-of-the-art methods, our proposed method and experiments, showing performance over segmentations from classical image segmentation methods and also over segmentations from background subtraction methods.

Název v anglickém jazyce

Affiliation possibility map filtering for image segmentation improvement

Popis výsledku anglicky

Image segmentation is an important task in computer vision. The task of image segmentation is to portion image into segments, thus provide more meaningful information of the image contents. Many methods have been developed for numerous application. The common problems of most of the segmentation techniques are scattered segmentation lines, too much details, small or thin segments, and noisy segmentation. In this paper, we propose a novel method for image segmentation improvement. We present state-of-the-art methods, our proposed method and experiments, showing performance over segmentations from classical image segmentation methods and also over segmentations from background subtraction methods.

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

—

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2014

Kód důvěrnosti údajů

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

Název statě ve sborníku

2014 4th International Conference on Image Processing Theory, Tools and Applications, IPTA 2014

ISBN

978-1-4799-6461-1

ISSN

—

e-ISSN

—

Počet stran výsledku

6

Strana od-do

1 - 6

Název nakladatele

Institute of Electrical and Electronics Engineers

Místo vydání

New York

Místo konání akce

Paříž

Datum konání akce

14. 10. 2014

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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