THE DIAGNOSTIC OF TWO-PHASE SEPARATION PROCESS USING DIGITAL IMAGE SEGMENTATION ALGORITHMS
Michał Łukiański
Lodz University of Technology, Institute of Applied Computer Science, Łódź, Poland (Poland)
https://orcid.org/0000-0002-4927-5350
Radoslaw Wajman
radoslaw.wajman@p.lodz.plLodz University of Technology (Poland)
Abstract
The project aimed to develop and implement algorithms to diagnose the phase separation process based on digital images. The image processing techniques and various numerical methods for interpolation and integration were used to identify the process state. The swirl’s volume and diameters at its three different levels can be determined on-line. A consistent diagnostic signal is produced and can be used by the control unit. The program was written in Python using the OpenCV library that allows the analysis of digital images. The article presents the developed procedure that provides reliable results despite the poor quality of the input source video stream. The complete procedure was described with the results’ presentation and discussion at each step.
Keywords:
image analysis, image segmentation, computerized monitoring, separation processesReferences
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Authors
Michał ŁukiańskiLodz University of Technology, Institute of Applied Computer Science, Łódź, Poland Poland
https://orcid.org/0000-0002-4927-5350
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