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dc.contributor.authorFedotov, Nikolay
dc.contributor.authorShulga, Luydmila
dc.contributor.editorSkala, Václav
dc.identifier.citationWSCG '2000: Conference proceeding: The 8th International Conference in Central Europe on Computers Graphics, Visualization and Interaktive Digital Media '2000 in cooperation with EUROGRAPHICS and IFIP WG 5.10: University of West Bohemia, Plzen, Czech republic, February 7 - 10, 2000, p. 373-380.en
dc.description.abstractThe 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.format8 s.cs
dc.publisherUniversity of West Bohemiaen
dc.relation.ispartofseriesWSCG '2000: Conference proceedingen
dc.rights© University of West Bohemiaen
dc.subjectrozpoznávání vzorůcs
dc.subjectstochastická geometriecs
dc.titleNew Theory of Pattern Recognition on the Basis of Stochastic Geometryen
dc.typekonferenční příspěvekcs
dc.subject.translatedpattern recognitionen
dc.subject.translatedstochastic geometryen
Appears in Collections:WSCG '2000: Conference proceeding

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