Detection of suspicious objects on the basis of analysis of human X-ray images
- Авторы: Svitov D.V.1,2, Kulikov V.A.1,2, Kosykh V.P.1,2
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Учреждения:
- Institute of Automation and Electrometry, Siberian Branch
- Novosibirsk State University
- Выпуск: Том 53, № 2 (2017)
- Страницы: 159-164
- Раздел: Analysis and Synthesis of Signals and Images
- URL: https://journals.rcsi.science/8756-6990/article/view/212101
- DOI: https://doi.org/10.3103/S875669901702008X
- ID: 212101
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Аннотация
A new approach is proposed for detection of suspicious objects in X-ray images for security assurance. The approach is based on using the statistical model of the image for detecting anomalies. The model is designed with the use of the “bag-of-words” with context definition of the word coordinates in the image during statistical pattern formation. It is experimentally demonstrated that this approach ensures adequate approximation of the result of detection of suspicious objects by humans.
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Об авторах
D. Svitov
Institute of Automation and Electrometry, Siberian Branch; Novosibirsk State University
Автор, ответственный за переписку.
Email: david-svitov@yandex.ru
Россия, pr. Akademika Koptyuga 1, Novosibirsk, 630090; ul. Pirogova 2, Novosibirsk, 630090
V. Kulikov
Institute of Automation and Electrometry, Siberian Branch; Novosibirsk State University
Email: david-svitov@yandex.ru
Россия, pr. Akademika Koptyuga 1, Novosibirsk, 630090; ul. Pirogova 2, Novosibirsk, 630090
V. Kosykh
Institute of Automation and Electrometry, Siberian Branch; Novosibirsk State University
Email: david-svitov@yandex.ru
Россия, pr. Akademika Koptyuga 1, Novosibirsk, 630090; ul. Pirogova 2, Novosibirsk, 630090
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