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Fast Anomaly Detection for Vision-Based Industrial Inspection Using Cascades of Null Subspace PCA Detectors

Anomaly detection in industrial imaging is critical for ensuring quality and reliability in automated manufacturing processes. While recently several methods have been reported in the literature that have demonstrated impressive detection performance on standard benchmarks, they necessarily rely on...

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Главные авторы: Muhammad Bilal, Muhammad Shehzad Hanif
Формат: Artigo
Язык:Inglês
Опубликовано: MDPI AG 2025-08-01
Серии:Sensors
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Online-ссылка:https://www.mdpi.com/1424-8220/25/15/4853
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