Anomaly detection in acoustic imaging data by similarity search

A method for detecting anomalies in non-destructive test data, the method comprising:

• acquiring non-destructive test data at a plurality of positions on an object;
• generating reference images corresponding to the plurality of positions based on the acquired non-destructive test data;
• selecting a candidate image from the reference images, the candidate image associated with a position from the plurality of positions;
• determining similarity scores between the candidate image and at least a subset of remaining reference images;
• identifying, based on the similarity scores, a reference image to the candidate image from the at least a subset of remaining reference images;
• and
• detecting an anomaly associated with the object at the position of the candidate image utilizing (i) a similarity threshold and (ii) a similarity score of the candidate image and the reference image.

A method for detecting anomalies in non-destructive test data, the method comprising:

• acquiring non-destructive test data at a plurality of positions on object;
• generating reference images corresponding to the plurality of positions based on the acquired non-destructive test data;
• generating a vector database comprising vectorized representations of the reference images;
• pairing each reference image to an Nth reference image based on similarity scores determined between each reference image and at least a subset of the remaining reference images, wherein N is a selected rank in a similarity ranking of the reference images;
• and
• identifying one or more anomalies associated with the object based on paired reference images having similarity scores and based on a similarity threshold.