TWO-PHASE FLOW STRUCTURE IDENTIFICATION BASED ON FUZZY ASSESMENT OF 3D TOMOGRAPHICAL IMAGING

Tomasz Jaworski

tjaworski@kis.p.lodz.pl
Lodz 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 images

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Published
2013-07-24

Cited by

Jaworski, T., Fiderek, P. ., Wajman, R. ., & Banasiak, R. (2013). TWO-PHASE FLOW STRUCTURE IDENTIFICATION BASED ON FUZZY ASSESMENT OF 3D TOMOGRAPHICAL IMAGING. Informatyka, Automatyka, Pomiary W Gospodarce I Ochronie Środowiska, 3(3), 41–48. https://doi.org/10.35784/iapgos.1462

Authors

Tomasz Jaworski 
tjaworski@kis.p.lodz.pl
Lodz University of Technology, Institute of Applied Computer Science Poland

Authors

Paweł Fiderek 

Lodz University of Technology, Institute of Applied Computer Science Poland

Authors

Radosław Wajman 

Lodz University of Technology, Institute of Applied Computer Science Poland

Authors

Robert Banasiak 

Lodz University of Technology, Institute of Applied Computer Science Poland

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