TWO-PHASE FLOW STRUCTURE IDENTIFICATION BASED ON FUZZY ASSESMENT OF 3D TOMOGRAPHICAL IMAGING
Tomasz Jaworski
tjaworski@kis.p.lodz.plLodz University of Technology, Institute of Applied Computer Science (Poland)
Paweł Fiderek
Lodz University of Technology, Institute of Applied Computer Science (Poland)
Radosław Wajman
Lodz University of Technology, Institute of Applied Computer Science (Poland)
Robert Banasiak
Lodz University of Technology, Institute of Applied Computer Science (Poland)
Abstract
The following paper presents results of research on automated two-phase flow pattern identification, which is based on a fuzzy assessment of registered spatial images. Such images are obtained from 3D tomography reconstruction algorithms and for each a set of fuzzy-based features is calculated. Finally, acquired features are used to classify obtained image to one of flow regime structures.
Keywords:
fuzzy logic, fuzzy image assessment, image processing, spatial imagesReferences
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Authors
Tomasz Jaworskitjaworski@kis.p.lodz.pl
Lodz University of Technology, Institute of Applied Computer Science Poland
Authors
Paweł FiderekLodz University of Technology, Institute of Applied Computer Science Poland
Authors
Radosław WajmanLodz University of Technology, Institute of Applied Computer Science Poland
Authors
Robert BanasiakLodz University of Technology, Institute of Applied Computer Science Poland
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