Title: New Theory of Pattern Recognition on the Basis of Stochastic Geometry
Authors: Fedotov, Nikolay
Shulga, Luydmila
Citation: WSCG '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.
Issue Date: 2000
Publisher: University of West Bohemia
Document type: konferenční příspěvek
URI: http://wscg.zcu.cz/wscg2000/Papers_2000/Q47.pdf
ISBN: 80-7082-612-6
Keywords: rozpoznávání vzorů;stochastická geometrie
Keywords in different language: pattern recognition;stochastic geometry
Abstract: 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.
Rights: © University of West Bohemia
Appears in Collections:WSCG '2000: Conference proceeding

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