Observed arrival · 2026-09-30
Tensor Material measures pores in material images
A research software project for segmenting pores in material images, measuring their geometry, and assembling analysis reports.
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- Materials researchers analyzing porous microstructures
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- One control image reports 82.18% IoU and 90.22% Dice; the page says other samples require separate validation.
Field notes
The described process runs from operator-edited pore boundaries to trained segmentation models, then to measurements and statistical reports. It distinguishes physical dimensions, calculated using an image scale, from porosity, defined as the pore-area share of a two-dimensional section; the reported comparison metrics apply to one control image only.
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