Affiliation possibility map filtering for image segmentation improvement

Result code in 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>
Result on the web
<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>

Result language
angličtina
Original language name
Affiliation possibility map filtering for image segmentation improvement
Original language description
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.
Czech name
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Czech description
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Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
2014 4th International Conference on Image Processing Theory, Tools and Applications, IPTA 2014
ISBN
978-1-4799-6461-1
ISSN
—
e-ISSN
—
Number of pages
6
Pages from-to
1 - 6
Publisher name
Institute of Electrical and Electronics Engineers
Place of publication
New York
Event location
Paříž
Event date
Oct 14, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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