Object Recognition for Industrial Image

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F14%3A86091039" target="_blank" >RIV/61989100:27240/14:86091039 - isvavai.cz</a>
Alternative codes found
RIV/61989100:27230/14:86091039
Result on the web
<a href="http://dx.doi.org/10.1109/CarpathianCC.2014.6843620" target="_blank" >http://dx.doi.org/10.1109/CarpathianCC.2014.6843620</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/CarpathianCC.2014.6843620" target="_blank" >10.1109/CarpathianCC.2014.6843620</a>

Result language
angličtina
Original language name
Object Recognition for Industrial Image
Original language description
The contribution is dealing with the design and implementation of software modules that will assist the user to the advanced recognition of objects of interest, such as the profile of mining and other industrial objects. Modules allow initial adjustmentwith a broad range of different image filters, which will allow for more precise work of the second module for automatic segmentation, which ensures active contour method with using the Gradient Vector Flow and Fast Marching Level Sets. Both modules areimplemented in Java with the JAI framework and are included in the software FOTOMNG system.
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
Proceedings of the 2014 15th International Carpathian Control Conference, ICCC 2014
ISBN
978-1-4799-3528-4
ISSN
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e-ISSN
—
Number of pages
6
Pages from-to
320-325
Publisher name
IEEE Computer Society
Place of publication
Los Alamitos
Event location
Velké Karlovice
Event date
May 28, 2014
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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