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ANOMALY DETECTION BASED ON AN AUTOENCODER AND CLUSTERING
ANOMALY DETECTION BASED ON AN AUTOENCODER AND CLUSTERING
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机译:基于AutoEncoder和聚类的异常检测
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摘要
The invention discloses an anomaly detection method of objects in a digital image, wherein the image of the object is encoded and decoded by an autoencoder, then a pixel-wise difference is calculated between the input image of the object, and the reconstructed image of the object. Pixels whose pixel-wise difference is above a threshold are considered as dissimilar pixels, and the presence of clusters of dissimilar pixels is tested. A cluster of dissimilar pixel is considered as representing an anomaly.
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