Auto-segmentation technique for SEM images using machine learning: Asphaltene deposition case study-Reference-Cited by-同舟云学术

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Auto-segmentation technique for SEM images using machine learning: Asphaltene deposition case study

Published:2020-10 Issue: Volume:217 Page:113074
ISSN:0304-3991
Container-title:Ultramicroscopy
language:en
Short-container-title:Ultramicroscopy

Author:

Gesho Masakazu,Chaisoontornyotin Wattana^ORCID,Elkhatib Omar,Goual Lamia

Funder

National Science Foundation

Publisher

Elsevier BV

Subject

Instrumentation,Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials

Reference72 articles.

1. Structural characterization of asphaltenes obtained from hydroprocessed crude oils by SEM and TEM;Trejo;Energy Fuels,2009

2. Formation Damage During Improved Oil Recovery;Yuan,2018

3. Reservoir Formation Damage, Fundamentals, Modeling, Assessment, and Mitigation;Civan;Gulf Publishing Company,2007

4. An effective image segmentation technique for the SEM image;Hee Lee,2008

5. Image analysis, enhancement and interpretation;Misell;Pract. Methods Electron Microsc.,1978

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