A region growing method for detecting interfaces in X-ray view cell images

Jampana, Phanindra Varma and Shah, S L and Shaw, J (2014) A region growing method for detecting interfaces in X-ray view cell images. IEEE Sensors Journal, 14 (7). pp. 2283-2292. ISSN 1530-437X

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X-ray transmission videography is used to observe the thermodynamic phase behavior of heavy oil mixtures of industrial interest that are opaque to visible light. The knowledge of the volumes of various phases provide important information for enhancing oil refining technology. Phase boundaries are usually marked by visual examination based upon which the volumes and densities of the phases are computed. Typically, phase behavior is computed at various temperatures and pressures to generate the phase diagram. This paper presents an image processing algorithm, which automates the task of detecting phase boundaries in the generated images. The interface and region models are first obtained from the image generation process. Using these models, a new method for interface detection based on the Mumford-Shah model is presented. Results are presented to show that the algorithm detects the phase boundaries to subpixel accuracy

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IITH Creators:
IITH CreatorsORCiD
Jampana, Phanindra Varmahttp://orcid.org/0000-0002-9678-5249
Item Type: Article
Uncontrolled Keywords: automatic boundary detection; image processing; X-ray view-cell
Subjects: Chemical Engineering > Biochemical Engineering
Divisions: Department of Chemical Engineering
Depositing User: Team Library
Date Deposited: 17 Dec 2014 09:43
Last Modified: 12 Sep 2017 08:37
URI: http://raiith.iith.ac.in/id/eprint/1191
Publisher URL: https://doi.org/10.1109/JSEN.2014.2309002
OA policy: http://www.sherpa.ac.uk/romeo/issn/1530-437X/
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