AI RESEARCH
Geometric Analysis of Magnetic Labyrinthine Stripe Evolution via U-Net Segmentation
arXiv CS.CV
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ArXi:2509.11485v2 Announce Type: replace-cross Labyrinthine stripe patterns are common in many physical systems, yet their lack of long-range order makes quantitative characterization challenging. We investigate the evolution of such patterns in bismuth-doped yttrium iron garnet (Bi:YIG) films subjected to a magnetic field annealing protocol. A U-Net deep learning model, trained with synthetic degradations including additive white Gaussian and Simplex noise, enables robust segmentation of experimental magneto-optical images despite noise and occlusions.