Full metadata record
DC poleHodnotaJazyk
dc.contributor.authorShulga, Luydmila
dc.contributor.authorFedotov, Nikolay
dc.contributor.editorSkala, Václav
dc.date.accessioned2015-09-21T11:24:33Z
dc.date.available2015-09-21T11:24:33Z
dc.date.issued2000
dc.identifier.citationJournal of WSCG. 2000, vol. 8, no. 1-3.en
dc.identifier.issn1213-6972 (print)
dc.identifier.issn1213-6980 (CD-ROM)
dc.identifier.issn1213-6964 (online)
dc.identifier.urihttp://hdl.handle.net/11025/15803
dc.identifier.urihttp://wscg.zcu.cz/wscg2000/wscg_2000_program.htm
dc.format8 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherVáclav Skala - UNION Agencycs
dc.relation.ispartofseriesJournal of WSCGen
dc.rights© Václav Skala - UNION Agencycs
dc.subjectrozpoznávání vzorůcs
dc.subjectstochastická geometriecs
dc.subjecttrojnásobná funkčnostcs
dc.titleNew theory of pattern recognition on the basis of stochastic geometryen
dc.typečlánekcs
dc.typearticleen
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedThe article offers a new approach towards the construction of recognition features independent of images’ displacement or linear deformation. The distinguishing characteristics of the group of features under study is representing each of them as a sequential composition of three functionals acting upon the function of one variable. The process to construct the new features suggested boasts of the advantages as follows: a)a host of new features can be easily constructed; b) the features obtained can be structurized along with parallel computations. Great many new features have been constructed to successfully solve the task of recognizing coloured images in biological systems, for instance, blood cells in gematology.en
dc.subject.translatedpattern recognitionen
dc.subject.translatedstochastic geometryen
dc.subject.translatedtriple functionalen
dc.type.statusPeer-revieweden
Vyskytuje se v kolekcích:Volume 8, number 1-3 (2000)

Soubory připojené k záznamu:
Soubor Popis VelikostFormát 
Q47.pdfPlný text201,34 kBAdobe PDFZobrazit/otevřít


Použijte tento identifikátor k citaci nebo jako odkaz na tento záznam: http://hdl.handle.net/11025/15803

Všechny záznamy v DSpace jsou chráněny autorskými právy, všechna práva vyhrazena.