CPC G06T 7/001 (2013.01) [G06T 5/00 (2013.01); G06T 5/50 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/30108 (2013.01)] | 7 Claims |
1. A method of detecting an abnormality comprising:
acquiring an image of an inspection target as a captured image;
generating a restored image by inputting the captured image into a first learning model, wherein the first learning model has learned with a normal image, wherein the normal image obtained by capturing a normal inspection target;
generating a difference image between the captured image of the inspection target and the restored image;
generating a restored difference image by inputting the generated difference image into a second learning model, wherein the second learning model has learned with a normal difference image; and
detecting abnormality of the inspection target using the difference image and the restored difference image.
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