P.O. Arkhipov1, M.V. Tsukanov2, A.K. Trofimenkov3

1,2 Orel Branch of the Federal Research Center “Computer Science and Control” of the RAS (Orel, Russia)
3 The Academy of the Federal Guard Service of the Russian Federation (Orel, Russia)
 

The article discusses the improvement of the existing method for detecting anomalies on panoramas of different times, justified by the need for additional analysis of the found anomalies, which increases the number of "significant" anomalies. The possibility of applying an approach based on the apparatus of fuzzy sets is investigated. Conclusions are drawn about the incompleteness of the previously used method for detecting anomalies on panoramas of different times, caused by the need to minimize false positives. New models for anomaly detection using fuzzy sets have been developed, which have shown an increase in the number of determined “significant” anomalies, with filtering out anomalies of the “noise” type. A new anomaly filtering method has been implemented, the use of which has reduced the number of detected anomalies of the "noise" type by several times. A new anomaly filtering method has been implemented when processing panoramic images, which allows you to additionally analyze the found anomalies and determine their type.

Arkhipov P.O., Tsukanov M.V., Trofimenkov A.K. Application of fuzzy sets in the problem of anomaly detection on compared panoramas. Highly Available Systems. 2023. V. 19. № 2. P. 46−54. DOI: https://doi.org/ 10.18127/j20729472-202302-04 (in Russian)

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