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Meeting	MS&T24: Materials Science & Technology
Symposium	Uncertainty Quantification Applications in Materials and Engineering
Presentation Title	Quantification of Uncertainty in Microstructure Segmentation of Solid Oxide Cell Electrodes Using an Improved Watershed Methodology
Author(s)	William Flaherty Kent, William Epting, Harry Abernathy, Paul Salvador
On-Site Speaker (Planned)	William Flaherty Kent
Abstract Scope	Microstructures control the electrochemical performance of SOC electrodes. Direct calculation of microstructural properties requires phase segmentation of experimentally collected greyscale data. Unfortunately, uncertainties arising from segmentation methods are difficult to assess and are not usually discussed. Nevertheless, subtle differences in segmentation outcomes can lead to large differences in calculated microstructure parameters, which we will show especially for higher-order parameters such as triple phase boundary density. We present a modification to typical watershed methodologies that addresses these issues. Markers are first placed based on the gradient histogram, using a single threshold parameter. After the watershed transform, phase-labeling is performed using the marker averaged greyscale histogram, using two threshold parameters to delineate three phases. Sequentially performing these steps and simplifying the methods to determine the optimal values of the three threshold parameters enables users to quantify uncertainty and avoids common segmentation errors, which will be discussed for segmentation of several large-scale datasets.

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