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We present an image processing algorithm developed for quantitative analysisof directional solidification of metal alloys in thin cells using X-rayimaging. Our methodology allows to identify the fluid volume, fluid channelsand cavities, and to separate them from the solidified structures. It alsoallows morphological analysis within the solid fraction, including automaticdecomposition into dominant grains by orientation and connectivity. Inaddition, the interplay between solidification and convection can be studied bycharacterizing convection plumes in the fluid, and solute concentrations abovethe developing solidification front. The image filters used enable thedeveloped code (open-source) to work reliably even for single images with lowsignal-to-noise ratio, low contrast-to-noise ratio, and low image resolution.This is demonstrated by applying the code to several dynamic in situ X-rayimaging experiments with a solidifying gallium-indium alloy in a thin cell.Grain (and global) dendrite orientation statistics, convective plumeparameterization, etc. can be obtained from the code output. The limitations ofthe presented approach are also explained.

An image processing pipeline for in-situ dynamic X-ray imaging of directional solidification of metal alloys in thin cells