A Contrario multi-scale anomaly detection method for industrial quality inspection. (arXiv:2205.11611v1 [cs.CV])

Anomalies can be defined as any non-random structure which deviates from
normality. Anomaly detection methods reported in the literature are numerous
and diverse, as what is considered anomalous usually varies depending on
particular scenarios and applications. In this work we propose an a contrario
framework to detect anomalies in images applying statistical analysis to
feature maps obtained via convolutions. We evaluate filters learned from the
image under analysis via patch PCA, Gabor filters and the feature maps obtained
from a …

anomaly anomaly detection arxiv cv detection industrial quality scale