A method for anomaly detection in 3D fiber images using local directional means, entropy, modified SAEM clustering, and change-point significance testing on random fields, tested on simulations and a polymer image.
MAVI – modular algorithms for volume images
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Detecting anomalies in fibre systems using 3-dimensional image data
A method for anomaly detection in 3D fiber images using local directional means, entropy, modified SAEM clustering, and change-point significance testing on random fields, tested on simulations and a polymer image.