Název:	New theory of pattern recognition on the basis of stochastic geometry
Autoři:	Shulga, Luydmila Fedotov, Nikolay
Citace zdrojového dokumentu:	Journal of WSCG. 2000, vol. 8, no. 1-3.
Datum vydání:	2000
Nakladatel:	Václav Skala - UNION Agency
Typ dokumentu:	článek article
URI:	http://hdl.handle.net/11025/15803 http://wscg.zcu.cz/wscg2000/wscg_2000_program.htm
ISSN:	1213-6972 (print) 1213-6980 (CD-ROM) 1213-6964 (online)
Klíčová slova:	rozpoznávání vzorů;stochastická geometrie;trojnásobná funkčnost
Klíčová slova v dalším jazyce:	pattern recognition;stochastic geometry;triple functional
Abstrakt v dalším jazyce:	The 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.
Práva:	© Václav Skala - UNION Agency
Vyskytuje se v kolekcích:	Volume 8, number 1-3 (2000)

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