U-Net segmentation of magneto-optical images combined with skeletonization and graph analysis quantifies the transition from quenched to annealed states in magnetic labyrinthine stripes and identifies two field-polarity-dependent evolution modes across 444 images.
Available: https://proceedings.neurips.cc/paper_files/ paper/2014/file/5ca3e9b122f61f8f06494c97b1afccf3-Paper.pdf
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Geometric Analysis of Magnetic Labyrinthine Stripe Evolution via U-Net Segmentation
U-Net segmentation of magneto-optical images combined with skeletonization and graph analysis quantifies the transition from quenched to annealed states in magnetic labyrinthine stripes and identifies two field-polarity-dependent evolution modes across 444 images.