New Theory of Pattern Recognition on the Basis of Stochastic Geometry
Date issued
2000
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
University of West Bohemia
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.
Description
Subject(s)
rozpoznávání vzorů, stochastická geometrie
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.