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dc.title | Object recognition in images | en |
dc.contributor.author | Adámek, Milan | |
dc.contributor.author | Neumann, Petr | |
dc.contributor.author | Pospíšilík, Martin | |
dc.contributor.author | Španko, Adrian | |
dc.contributor.author | Vašek, Vladimír | |
dc.relation.ispartof | Annals of DAAAM and Proceedings of the International DAAAM Symposium | |
dc.identifier.issn | 1726-9679 Scopus Sources, Sherpa/RoMEO, JCR | |
dc.identifier.isbn | 978-3-902734-11-2 | |
dc.date.issued | 2017 | |
utb.relation.volume | 0 | |
dc.citation.spage | 1178 | |
dc.citation.epage | 1184 | |
dc.event.title | 28th DAAAM International Symposium on Intelligent Manufacturing and Automation, DAAAM 2017 | |
dc.event.location | Zadar | |
utb.event.state-en | Croatia | |
utb.event.state-cs | Chorvatsko | |
dc.event.sdate | 2017-11-08 | |
dc.event.edate | 2017-11-11 | |
dc.type | conferenceObject | |
dc.language.iso | en | |
dc.publisher | Danube Adria Association for Automation and Manufacturing, DAAAM | |
dc.identifier.doi | 10.2507/28th.daaam.proceedings.163 | |
dc.relation.uri | https://www.daaam.info/Downloads/Pdfs/proceedings/proceedings_2017/163.pdf | |
dc.subject | image processing | en |
dc.subject | Matlab | en |
dc.subject | neural network | en |
dc.subject | pre-processing | en |
dc.subject | training data | en |
dc.description.abstract | Perception of image perceptions is one of the most important features of every person. With the help of our eyesight, we can perceive the world around us, acquiring information about our surroundings and recognize different objects in them. Thanks to the recipes of our eye, we can capture it clear information and transferred information to the brain where this information is further processed and evaluated. Based on that, we can recognize what we see.The detection of various objects or shapes in an image is a very important element of all operations involving Image Processing. It is not only used in the processing of Medical Imagery data, (e.g. searching for structures in tomographic images); but also, in the Security field, (e.g. access control); as well as in the human sector - i.e. in cameras and cameras, (e.g. face detection, smiles, etc.). This article deals with possible detection methods of objects in images. | en |
utb.faculty | Faculty of Applied Informatics | |
dc.identifier.uri | http://hdl.handle.net/10563/1010128 | |
utb.identifier.obdid | 43877508 | |
utb.identifier.scopus | 2-s2.0-85040736716 | |
utb.source | d-scopus | |
dc.date.accessioned | 2021-01-08T14:02:33Z | |
dc.date.available | 2021-01-08T14:02:33Z | |
dc.rights | Attribution-NonCommercial 4.0 International | |
dc.rights.uri | https://creativecommons.org/licenses/by-nc/4.0/ | |
dc.rights.access | openAccess | |
utb.ou | CEBIA-Tech | |
utb.contributor.internalauthor | Adámek, Milan | |
utb.contributor.internalauthor | Neumann, Petr | |
utb.contributor.internalauthor | Pospíšilík, Martin | |
utb.contributor.internalauthor | Vašek, Vladimír | |
utb.fulltext.affiliation | Adámek Milan, Neumann Petr, Pospíšilík Martin, Španko Adrian, Vašek Vladimír | |
utb.fulltext.dates | - | |
utb.fulltext.sponsorship | This work was supported by the Ministry of Education, Youth and Sports of the Czech Republic within the National Sustainability Programme project No. LO1303 (MSMT-7778/2014) and also by the European Regional Development Fund under the project CEBIA-Tech No. CZ.1.05/2.1.00/03.0089 | |
utb.fulltext.projects | LO1303 | |
utb.fulltext.projects | MSMT-7778/2014 | |
utb.fulltext.projects | CZ.1.05/2.1.00/03.0089 | |
utb.fulltext.faculty | - | |
utb.fulltext.ou | - |