METHOD FOR RECOGNITION AND CLASSIFICATION OF OBJECT SHAPE IN LABYRINTH DOMAIN STRUCTURES Russian patent published in 2014 - IPC G06K9/66 G06T7/00 

Abstract RU 2522869 C2

FIELD: physics.

SUBSTANCE: method includes determining the number of objects on an image of a structure; using roundness and filling coefficients as morphological characteristics for each object; creating a fuzzy knowledge base for separating objects into rounded, elliptical and dumbbell shaped using a triangular membership function, and for non-rounded strip-like and branched objects - using a trapezoidal membership function based on experimental data of values of said roundness and filling coefficients; performing recognition of domains; generating a fuzzy classifier for separating objects according to shape into rounded, elliptical, dumbbell shaped, strip-like and branched objects based on the ratio of the roundness coefficient to the filling coefficient of the object; performing classification of the shapes of the objects.

EFFECT: classifying objects based on geometric features in labyrinth structures.

2 cl, 6 dwg, 2 tbl, 1 ex

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Authors

Bragin Anatolij Valer'Evich

Logunov Mikhail Vladimirovich

Nikitov Sergej Apollonovich

P'Janzin Denis Vasil'Evich

Trifonov Andrej Aleksandrovich

Dates

2014-07-20Published

2012-11-07Filed