A competition in unsupervised color image segmentation

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F16%3A00459179" target="_blank" >RIV/67985556:_____/16:00459179 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1016/j.patcog.2016.03.003" target="_blank" >http://dx.doi.org/10.1016/j.patcog.2016.03.003</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.patcog.2016.03.003" target="_blank" >10.1016/j.patcog.2016.03.003</a>

Result language
angličtina
Original language name
A competition in unsupervised color image segmentation
Original language description
A competition in unsupervised color image segmentation took place in conjunction with the 22nd International Conference on Pattern Recognition (ICPR 2014). It aimed to promote evaluation of unsupervised color image segmentation algorithms using publicly available data sets, and to allow for any subsequent methods to be easily evaluated and compared with the results of the contested methods under identical conditions. Our comparison of different methods is based on the standard methodology of performance assessment using an on-line verification server. We present in this paper the evaluation of the top six results submitted to the ICPR 2014 contest in unsupervised color image segmentation and compare them with 11 other state-of-the-art unsupervised image segmenters.
Czech name
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Czech description
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Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
BD - Information theory
OECD FORD branch
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Project
<a href="/en/project/GA14-10911S" target="_blank" >GA14-10911S: Mathematical modeling of surface material appearance</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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