Concavity-based local erosion and sphere-size-based local dilation applied to lithium-ion battery electrode microstructures for particle identification
Journal Article
·
· Computational Materials Science
- National Renewable Energy Laboratory (NREL), Golden, CO (United States)
Performance metrics of lithium-ion batteries can be extracted from the analysis of electrode microstructures nanoscale imaging. The characterization workflow can involve a challenging particle identification, or instance segmentation, step. In this work, we propose a new identification method based on an original transformation: a sphere-size-based local dilation followed by a concavity-based local erosion, that is local morphology closing. The new transformation is much more efficient than the global morphology closing, with correct identification achieved with only 1.7 % dilation volume and 2.6 % erosion volume on a test geometry, compared to 39.2 % and more than 50 %, respectively, with its global counterpart. The new method has been then benchmarked versus other identification algorithms (watershed and pseudo coulomb repulsive field) on a real electrode microstructure with equal or better segmentation achieved.
- Research Organization:
- National Renewable Energy Laboratory (NREL), Golden, CO (United States)
- Sponsoring Organization:
- USDOE Laboratory Directed Research and Development (LDRD) Program; USDOE Office of Energy Efficiency and Renewable Energy (EERE), Office of Sustainable Transportation. Vehicle Technologies Office (VTO)
- Grant/Contract Number:
- AC36-08GO28308
- OSTI ID:
- 2538016
- Report Number(s):
- NREL/JA--5700-89499; MainId:90278; UUID:f38fa4cd-489d-4e42-ad4c-98c49c11edb8; MainAdminId:76341
- Journal Information:
- Computational Materials Science, Journal Name: Computational Materials Science Vol. 251; ISSN 0927-0256
- Publisher:
- ElsevierCopyright Statement
- Country of Publication:
- United States
- Language:
- English
Similar Records
Accurate modeling and reconstruction of three-dimensional percolating filamentary microstructures from two-dimensional micrographs via dilation-erosion method
ED-cPSD: Fast Phase-Size Distribution via Sequential Erosion-Dilation
A 3D global-to-local deformable mesh model based registration and anatomy-constrained segmentation method for image guided prostate radiotherapy
Journal Article
·
Fri Feb 28 23:00:00 EST 2014
· Materials Characterization
·
OSTI ID:22340333
ED-cPSD: Fast Phase-Size Distribution via Sequential Erosion-Dilation
Journal Article
·
Mon Jun 02 20:00:00 EDT 2025
· SoftwareX
·
OSTI ID:3002393
A 3D global-to-local deformable mesh model based registration and anatomy-constrained segmentation method for image guided prostate radiotherapy
Journal Article
·
Mon Mar 15 00:00:00 EDT 2010
· Medical Physics
·
OSTI ID:22096651